Triple
T9698787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alor–Pantar languages |
E234719
|
entity |
| Predicate | includeLanguage |
P2177
|
FINISHED |
| Object |
Blagar
Blagar is a Papuan language spoken primarily on Pura and nearby islands in eastern Indonesia, belonging to the Alor–Pantar language family.
|
E814998
|
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: Blagar | Statement: [Alor–Pantar languages, includeLanguage, Blagar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blagar Context triple: [Alor–Pantar languages, includeLanguage, Blagar]
-
A.
Bogar
Bogar is a revered Tamil Siddhar, alchemist, and mystic traditionally credited with esoteric yogic practices, medicinal formulations, and the crafting of sacred idols in South Indian spiritual lore.
-
B.
Garliava
Garliava is a small town in central Lithuania known as a suburban community near the city of Kaunas.
-
C.
Bogrod
Bogrod is a goblin banker who works at Gringotts Wizarding Bank in the Harry Potter series.
-
D.
Dargwa
Dargwa is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan, Russia.
-
E.
Shogran
Shogran is a scenic hill station and tourist resort in Pakistan’s Kaghan Valley, known for its lush meadows, cool climate, and panoramic mountain views.
- 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: Blagar Triple: [Alor–Pantar languages, includeLanguage, Blagar]
Generated description
Blagar is a Papuan language spoken primarily on Pura and nearby islands in eastern Indonesia, belonging to the Alor–Pantar language family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blagar Target entity description: Blagar is a Papuan language spoken primarily on Pura and nearby islands in eastern Indonesia, belonging to the Alor–Pantar language family.
-
A.
Bogar
Bogar is a revered Tamil Siddhar, alchemist, and mystic traditionally credited with esoteric yogic practices, medicinal formulations, and the crafting of sacred idols in South Indian spiritual lore.
-
B.
Garliava
Garliava is a small town in central Lithuania known as a suburban community near the city of Kaunas.
-
C.
Bogrod
Bogrod is a goblin banker who works at Gringotts Wizarding Bank in the Harry Potter series.
-
D.
Dargwa
Dargwa is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan, Russia.
-
E.
Shogran
Shogran is a scenic hill station and tourist resort in Pakistan’s Kaghan Valley, known for its lush meadows, cool climate, and panoramic mountain views.
- 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d3d425c8190b652d84186b5ce9f |
completed | April 1, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1912a551c8190bd6b48790f117f71 |
completed | April 4, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69d193d8dd7c819094ca47105c3135e6 |
completed | April 4, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1943d67988190aac089266d2d4abc |
completed | April 4, 2026, 10:44 p.m. |
Created at: March 30, 2026, 8:18 p.m.