Triple
T22175812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pakpak-Dairi |
E548045
|
entity |
| Predicate | hasNeighborLanguage |
P16383
|
FINISHED |
| Object |
Alas language
Alas language is an Austronesian language spoken by the Alas people in Aceh, northern Sumatra, Indonesia.
|
E1523195
|
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: Alas language | Statement: [Pakpak-Dairi, hasNeighborLanguage, Alas language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alas language Context triple: [Pakpak-Dairi, hasNeighborLanguage, Alas language]
-
A.
Lasalimu language
The Lasalimu language is an Austronesian language spoken by a small community on Buton Island in Southeast Sulawesi, Indonesia.
-
B.
Alagwa language
The Alagwa language is a South Cushitic language spoken by the Alagwa people of north-central Tanzania.
-
C.
Ahirani language
Ahirani language is an Indo-Aryan language spoken primarily in the Khandesh region of Maharashtra, India, known for its close relation to Marathi and distinct regional dialectal features.
-
D.
Damara language
The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
-
E.
Argobba language
The Argobba language is an endangered Ethiosemitic language spoken by the Argobba people of Ethiopia, closely related to Harari and other languages of the Harar 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: Alas language Triple: [Pakpak-Dairi, hasNeighborLanguage, Alas language]
Generated description
Alas language is an Austronesian language spoken by the Alas people in Aceh, northern Sumatra, Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alas language Target entity description: Alas language is an Austronesian language spoken by the Alas people in Aceh, northern Sumatra, Indonesia.
-
A.
Lasalimu language
The Lasalimu language is an Austronesian language spoken by a small community on Buton Island in Southeast Sulawesi, Indonesia.
-
B.
Alagwa language
The Alagwa language is a South Cushitic language spoken by the Alagwa people of north-central Tanzania.
-
C.
Ahirani language
Ahirani language is an Indo-Aryan language spoken primarily in the Khandesh region of Maharashtra, India, known for its close relation to Marathi and distinct regional dialectal features.
-
D.
Damara language
The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
-
E.
Argobba language
The Argobba language is an endangered Ethiosemitic language spoken by the Argobba people of Ethiopia, closely related to Harari and other languages of the Harar 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a6c40988190ba52ea46079eb306 |
completed | April 28, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a9ec8ab7c81908eaa85092ce658c1 |
completed | May 18, 2026, 5:08 a.m. |
| NEDg | Description generation | batch_6a0a9f494f3c8190aee8f2e6dc1af763 |
completed | May 18, 2026, 5:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aa03a8e0c819089dc48473b5b743c |
completed | May 18, 2026, 5:14 a.m. |
Created at: April 16, 2026, 8:34 p.m.