Triple
T13057577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Leyte |
E327617
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Dulag |
E198058
|
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: Dulag | Statement: [Northern Leyte, containsCity, Dulag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dulag Context triple: [Northern Leyte, containsCity, Dulag]
-
A.
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.
-
B.
Dulag
chosen
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.
Dulegaya
Dulegaya is an indigenous Chibchan language spoken by the Guna (Kuna) people of Panama and Colombia.
-
D.
Dumalag
Dumalag is a municipality in the province of Capiz in the Western Visayas region of the Philippines, known for its rural landscapes and small-town character.
-
E.
Nagdar
Nagdar is a small village located within Pakistan’s scenic Neelum Valley in Azad Kashmir.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980bd305c8190bcf191b2d35ec8de |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbe0bf3081909ff498ac66cb2aa6 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:58 p.m.