Triple
T4283592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanua Levu |
E97212
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Labasa |
E426418
|
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: Labasa | Statement: [Vanua Levu, hasTown, Labasa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Labasa Context triple: [Vanua Levu, hasTown, Labasa]
-
A.
Labasa
chosen
Labasa is a major town in northern Fiji on the island of Vanua Levu, known as an important commercial and administrative center for the surrounding sugarcane-growing region.
-
B.
Calabarzon
Calabarzon is a populous and industrialized region in the southern part of Luzon in the Philippines, known for its mix of urban centers, agricultural areas, and manufacturing hubs.
-
C.
Sarigan
Sarigan is a small, uninhabited volcanic island in the Northern Mariana Islands known for its active stratovolcano and protected wildlife habitats.
-
D.
Bacong
Bacong is a coastal municipality in the province of Negros Oriental in the Philippines, known for its historic church and proximity to Dumaguete City.
-
E.
Pinangat
Pinangat is a traditional Filipino dish from the Bicol Region made of taro leaves, coconut milk, and chilies, known for its rich, spicy flavor.
- 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_69b3454595848190a0e6bbb6a2bea040 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3503a84548190989a96d1a30d6ef7 |
completed | March 12, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c72804ac81908f8d2c111276b6b7 |
completed | March 14, 2026, 8:38 p.m. |
Created at: March 12, 2026, 11:07 p.m.