Triple
T5615195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isinay language |
E147458
|
entity |
| Predicate | glottologName |
P6521
|
FINISHED |
| Object |
Isinay
Isinay is an Austronesian language spoken by the Isinay people of northern Luzon in the Philippines, noted for its distinct phonology and grammar compared to neighboring Philippine languages.
|
E534723
|
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: Isinay | Statement: [Isinay language, glottologName, Isinay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isinay Context triple: [Isinay language, glottologName, Isinay]
-
A.
Isin
Isin is a local government area in Kwara State, Nigeria, known for its predominantly Yoruba communities and agrarian economy.
-
B.
Isanzu
Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
-
C.
Makilala
Makilala is a municipality in the province of North Cotabato in the Philippines, known for its agricultural economy and proximity to Mount Apo.
-
D.
Kalamansig
Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
-
E.
Shamiya
Shamiya is a residential district in Kuwait City known for its planned layout, community facilities, and central location within the capital.
- 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: Isinay Triple: [Isinay language, glottologName, Isinay]
Generated description
Isinay is an Austronesian language spoken by the Isinay people of northern Luzon in the Philippines, noted for its distinct phonology and grammar compared to neighboring Philippine languages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Isinay Target entity description: Isinay is an Austronesian language spoken by the Isinay people of northern Luzon in the Philippines, noted for its distinct phonology and grammar compared to neighboring Philippine languages.
-
A.
Isin
Isin is a local government area in Kwara State, Nigeria, known for its predominantly Yoruba communities and agrarian economy.
-
B.
Isanzu
Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
-
C.
Makilala
Makilala is a municipality in the province of North Cotabato in the Philippines, known for its agricultural economy and proximity to Mount Apo.
-
D.
Kalamansig
Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
-
E.
Shamiya
Shamiya is a residential district in Kuwait City known for its planned layout, community facilities, and central location within the capital.
- 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_69c00905d4588190bd967842bbcf2219 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02123fa9081909086c9cce3f3e907 |
completed | March 22, 2026, 5:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d51c12c8190911fb9a0c0d234d8 |
completed | March 22, 2026, 8:13 p.m. |
| NEDg | Description generation | batch_69c04e89b7c481908abae227d22cc814 |
completed | March 22, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f41b158819097f9ef536215e248 |
completed | March 22, 2026, 8:21 p.m. |
Created at: March 22, 2026, 3:39 p.m.