Triple
T3275721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guna language |
E68751
|
entity |
| Predicate | hasEndonym |
P1435
|
FINISHED |
| Object | Dulegaya |
E344238
|
NE FINISHED |
How this triple was built (2 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: Dulegaya | Statement: [Guna language, hasEndonym, Dulegaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dulegaya Context triple: [Guna language, hasEndonym, Dulegaya]
-
A.
Dulegaya
chosen
Dulegaya is an indigenous Chibchan language spoken by the Guna (Kuna) people of Panama and Colombia.
-
B.
Dulag
Dulag is a coastal municipality on the island of Leyte in the Philippines, historically notable as one of the main landing sites for Allied forces during the Battle of Leyte Gulf in World War II.
-
C.
Dulag
Dulag was the abbreviated German term for World War II transit camps used by the Wehrmacht to process and interrogate prisoners of war and civilians.
-
D.
Dangamvura
Dangamvura is a residential suburb of Mutare, a major city in eastern Zimbabwe.
-
E.
Daura
Daura is a historic town in Katsina State, northern Nigeria, regarded as a cultural center of the Hausa people and known as the hometown of former president Muhammadu Buhari.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0110f1c8190ae60708b686cbbf9 |
completed | March 8, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3c764548190ac3c90da3763ac62 |
completed | March 12, 2026, 5:11 p.m. |
Created at: March 8, 2026, 3:10 p.m.