Triple
T19003900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basilan |
E465025
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Isabela City |
—
|
NE NERFINISHED |
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: Isabela City | Statement: [Basilan, hasCity, Isabela City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isabela City Context triple: [Basilan, hasCity, Isabela City]
-
A.
Isabela City
chosen
Isabela City is an urban center and component city in the southern Philippines, located in the province of Basilan within the Zamboanga Peninsula region.
-
B.
Legazpi City
Legazpi City is a coastal city in the Philippines known as the regional center of the Bicol Region and famed for its views of the Mayon Volcano.
-
C.
Iriga City
Iriga City is a component city in the province of Camarines Sur in the Philippines, known for its Mount Iriga volcano and role as a commercial and educational hub in the Bicol Region.
-
D.
Ozamiz
Ozamiz is a coastal city in Misamis Occidental, Philippines, known as a commercial and transportation hub in northern Mindanao.
-
E.
Cagayan de Oro
Cagayan de Oro is a highly urbanized city in Northern Mindanao, Philippines, known as a regional economic hub and gateway to the island’s northern corridor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6a3db9c8190a1bf0228e360a6e0 |
completed | April 20, 2026, 7:32 a.m. |
Created at: April 10, 2026, 12:01 p.m.