Triple
T18826690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hatton |
E460404
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object |
Maskeliya
Maskeliya is a small town in Sri Lanka’s central highlands, known for its tea plantations and as a gateway to the sacred Adam’s Peak (Sri Pada).
|
E1344776
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Maskeliya | Statement: [Hatton, nearbyTown, Maskeliya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maskeliya Context triple: [Hatton, nearbyTown, Maskeliya]
-
A.
Masaleet
Masaleet is an alternative transliteration of the Masalit language, a Nilo-Saharan language spoken primarily by the Masalit people in western Sudan and eastern Chad.
-
B.
Sarei HaMeah
Sarei HaMeah is a significant Hebrew work by Rabbi Yehuda Leib Maimon that profiles and analyzes one hundred prominent rabbinic figures.
-
C.
Siftei Kohen
Siftei Kohen is a seminal 17th-century halachic commentary by Rabbi Shabbetai HaKohen on the Shulchan Aruch, particularly influential in the fields of Jewish civil and ritual law.
-
D.
Nasakhma
Nasakhma was a Kushite king of the ancient Nubian kingdom of Napata, known from his royal burial at the pyramid field of Nuri in present-day Sudan.
-
E.
Talpiot
Talpiot is a neighborhood in southern Jerusalem known for its mix of residential areas, light industry, and commercial centers.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Maskeliya Triple: [Hatton, nearbyTown, Maskeliya]
Generated description
Maskeliya is a small town in Sri Lanka’s central highlands, known for its tea plantations and as a gateway to the sacred Adam’s Peak (Sri Pada).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maskeliya Target entity description: Maskeliya is a small town in Sri Lanka’s central highlands, known for its tea plantations and as a gateway to the sacred Adam’s Peak (Sri Pada).
-
A.
Masaleet
Masaleet is an alternative transliteration of the Masalit language, a Nilo-Saharan language spoken primarily by the Masalit people in western Sudan and eastern Chad.
-
B.
Sarei HaMeah
Sarei HaMeah is a significant Hebrew work by Rabbi Yehuda Leib Maimon that profiles and analyzes one hundred prominent rabbinic figures.
-
C.
Siftei Kohen
Siftei Kohen is a seminal 17th-century halachic commentary by Rabbi Shabbetai HaKohen on the Shulchan Aruch, particularly influential in the fields of Jewish civil and ritual law.
-
D.
Nasakhma
Nasakhma was a Kushite king of the ancient Nubian kingdom of Napata, known from his royal burial at the pyramid field of Nuri in present-day Sudan.
-
E.
Talpiot
Talpiot is a neighborhood in southern Jerusalem known for its mix of residential areas, light industry, and commercial centers.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6bec7b08190b040ec8b3693f037 |
completed | April 20, 2026, 4:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a055bd068588190bc34b99796e1a3e1 |
completed | May 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a0560c0ef4c819082b51fd8cee8c738 |
completed | May 14, 2026, 5:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05615a8a7481908ec4c6f9835ca616 |
completed | May 14, 2026, 5:44 a.m. |
Created at: April 10, 2026, 11:56 a.m.