Triple
T14791343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lautoka |
E347662
|
entity |
| Predicate | rankByPopulationInFiji |
P1026
|
FINISHED |
| Object | second-largest city |
—
|
LITERAL 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: second-largest city | Statement: [Lautoka, rankByPopulationInFiji, second-largest city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankByPopulationInFiji Context triple: [Lautoka, rankByPopulationInFiji, second-largest city]
-
A.
rankByAreaInFiji
Indicates the relative ordering of entities based on their area size within the geographic context of Fiji.
-
B.
fijiRegion
Indicates that an entity is located in, associated with, or belongs to the geographic region of Fiji.
-
C.
distanceFromFijiMainlandKilometres
Indicates the distance, measured in kilometers, between an entity’s location and the mainland of Fiji.
-
D.
distanceFromFijiMainlandMiles
Indicates the number of miles separating an entity’s location from the mainland of Fiji.
-
E.
hasPopulationRank
chosen
Indicates the relative position of an entity in an ordered list based on the size of its population.
- F. None of above.
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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd5d134c819080ee788b2e34163a |
completed | April 14, 2026, 11:27 p.m. |
| PD | Predicate disambiguation | batch_69de8c090d1081909b5a9bf437499d6c |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:31 a.m.