Triple
T14011566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benguet |
E337091
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Baguio |
E101543
|
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: Baguio | Statement: [Benguet, hasCity, Baguio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baguio Context triple: [Benguet, hasCity, Baguio]
-
A.
Baguio
chosen
Baguio is a mountain resort city in the Philippines known for its cool climate, pine forests, and role as the country's "Summer Capital."
-
B.
Laoag
Laoag is a coastal city in northern Luzon, Philippines, known as the capital of Ilocos Norte and a regional center for commerce, education, and tourism.
-
C.
Initao
Initao is a coastal municipality in the province of Misamis Oriental in the Philippines, known for its beaches, marine sanctuary, and limestone forest park.
-
D.
Itbayat
Itbayat is a remote island municipality in the northernmost part of the Philippines, known for its rugged coastal cliffs, traditional stone houses, and preserved Ivatan culture.
-
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 (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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed5cfd0819085b9c860b119a9de |
completed | April 14, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd192ee1ac81908663ebd2e06784f1 |
completed | May 7, 2026, 10:58 p.m. |
Created at: April 9, 2026, 10:19 p.m.