Triple
T11062181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Consolacion |
E261533
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Liloan |
E261534
|
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: Liloan | Statement: [Consolacion, locatedNear, Liloan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liloan Context triple: [Consolacion, locatedNear, Liloan]
-
A.
Liloan
chosen
Liloan is a coastal municipality in the province of Cebu in the Philippines, known for its historic lighthouse and scenic shoreline.
-
B.
Liloan
Liloan is a coastal municipality in the province of Southern Leyte in the Philippines, known for its fishing communities and scenic seaside landscapes.
-
C.
Lawaan
Lawaan is a coastal municipality in the province of Eastern Samar in the Philippines, known for its rural communities and natural landscapes.
-
D.
Kaliua
Kaliua is a town in western Tanzania that serves as the administrative and commercial center of Kaliua District in Tabora Region.
-
E.
Dauis
Dauis is a coastal municipality on Panglao Island in Bohol, Philippines, known for its historic church, beaches, and proximity to popular dive sites.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798eb838c819089a89c55209c0295 |
completed | April 9, 2026, 12:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c887d2148190b19c91b6eb548494 |
completed | April 18, 2026, 6:08 p.m. |
Created at: April 8, 2026, 9:26 p.m.