Triple
T15259442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camagüey |
E364733
|
entity |
| Predicate | populationRankInCuba |
P117802
|
FINISHED |
| Object | among the largest Cuban cities |
—
|
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: among the largest Cuban cities | Statement: [Camagüey, populationRankInCuba, among the largest Cuban cities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationRankInCuba Context triple: [Camagüey, populationRankInCuba, among the largest Cuban cities]
-
A.
populationRankInVenezuela
Indicates the relative position of an entity in terms of population size compared to other entities within Venezuela.
-
B.
populationRankInPuertoRico
Indicates the relative position of a place in terms of population size compared to other places within Puerto Rico.
-
C.
rankByAreaInCaribbean
Indicates the relative ordering of entities based on their area size specifically within the Caribbean region.
-
D.
populationRankInMexico
Indicates the relative position of an entity in terms of population size compared to other entities within Mexico.
-
E.
populationRankInCanaryIslands
Indicates the relative position of an entity in terms of population size compared to other entities within the Canary Islands.
- F. None of above. chosen
Provenance (4 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084d11148190919eef8e55569bb9 |
completed | April 15, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69deca8d1bd48190a4b94f29b425e335 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2ca6148190967c319728ec3661 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:13 a.m.