Triple
T21784649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lanaken |
E537803
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Neerharen
Neerharen is a village in the Belgian province of Limburg, known as a sub-municipality of Lanaken near the Dutch border.
|
E1502572
|
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: Neerharen | Statement: [Lanaken, contains, Neerharen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neerharen Context triple: [Lanaken, contains, Neerharen]
-
A.
Bhaer
Bhaer is a fictional surname best known from Professor Friedrich Bhaer, a key character and eventual husband of Jo March in Louisa May Alcott’s novel "Little Women."
-
B.
Harnai
Harnai is a town in Pakistan’s Balochistan province known for its coal mining and mountainous terrain.
-
C.
Jhirnya
Jhirnya is a small town in the Khargone district of Madhya Pradesh, India, known primarily as a local administrative and rural market center.
-
D.
Bharela
Bharela is a major tribal community residing in the Dhar district of Madhya Pradesh, India, known for its distinct cultural and social traditions.
-
E.
Bahoriband
Bahoriband is a town in the Katni district of Madhya Pradesh, India, known for its local administrative and market functions within the region.
- 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: Neerharen Triple: [Lanaken, contains, Neerharen]
Generated description
Neerharen is a village in the Belgian province of Limburg, known as a sub-municipality of Lanaken near the Dutch border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neerharen Target entity description: Neerharen is a village in the Belgian province of Limburg, known as a sub-municipality of Lanaken near the Dutch border.
-
A.
Bhaer
Bhaer is a fictional surname best known from Professor Friedrich Bhaer, a key character and eventual husband of Jo March in Louisa May Alcott’s novel "Little Women."
-
B.
Harnai
Harnai is a town in Pakistan’s Balochistan province known for its coal mining and mountainous terrain.
-
C.
Jhirnya
Jhirnya is a small town in the Khargone district of Madhya Pradesh, India, known primarily as a local administrative and rural market center.
-
D.
Bharela
Bharela is a major tribal community residing in the Dhar district of Madhya Pradesh, India, known for its distinct cultural and social traditions.
-
E.
Bahoriband
Bahoriband is a town in the Katni district of Madhya Pradesh, India, known for its local administrative and market functions within the region.
- 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f046303d54819096b3fab4ab5678e6 |
completed | April 28, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a3e71399c8190b80ebe0870bbcda9 |
completed | May 17, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a0a3f80ad2c8190bc9b8de10b37c826 |
completed | May 17, 2026, 10:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a402328f88190aedece0522614d71 |
completed | May 17, 2026, 10:24 p.m. |
Created at: April 16, 2026, 6:52 p.m.