Triple
T18766563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Session Road |
E458908
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Baguio |
—
|
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: Baguio | Statement: [Session Road, locatedIn, Baguio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baguio Context triple: [Session Road, locatedIn, 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.
Laoag
Laoag is a barangay (village-level administrative division) within the municipality of San Antonio in the province of Zambales, Philippines.
-
D.
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.
-
E.
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.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d84cfa881909a1d3f7a5ab82574 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 10, 2026, 11:52 a.m.