Triple
T23156524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Pierre |
E578453
|
entity |
| Predicate | previousPopulationStatus |
P23346
|
FINISHED |
| Object | largest city in Martinique before 1902 |
—
|
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: largest city in Martinique before 1902 | Statement: [Saint-Pierre, previousPopulationStatus, largest city in Martinique before 1902]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousPopulationStatus Context triple: [Saint-Pierre, previousPopulationStatus, largest city in Martinique before 1902]
-
A.
hasPopulationStatus
Indicates the current demographic condition or classification of a population associated with an entity.
-
B.
lastKnownPopulations
Indicates the most recently recorded population counts associated with an entity or set of entities.
-
C.
populationState
Indicates the condition or status of a population at a given point in time, such as its size, distribution, or demographic characteristics.
-
D.
formerPopulation
chosen
Indicates that an entity once had a certain population value or size during a past time period but no longer does.
-
E.
predecessorPopulation
Indicates that one population entity is the immediate prior version or state of another population entity in a temporal or evolutionary sequence.
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18efd598c81908fba9d583e30660e |
completed | April 29, 2026, 4:54 a.m. |
| PD | Predicate disambiguation | batch_69ef89ff76808190808ee4ad9dea776b |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:01 p.m.