Triple
T23050294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlantique |
E573989
|
entity |
| Predicate | yearRoundPopulation |
P28910
|
FINISHED |
| Object | very small |
—
|
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: very small | Statement: [Atlantique, yearRoundPopulation, very small]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearRoundPopulation Context triple: [Atlantique, yearRoundPopulation, very small]
-
A.
hasPopulationAsOf
Indicates that a population count is associated with a specific point or date in time when that population figure was valid or recorded.
-
B.
lastKnownPopulations
Indicates the most recently recorded population counts associated with an entity or set of entities.
-
C.
permanentPopulation
chosen
Indicates that an entity has a stable, long-term resident population rather than a temporary or transient presence.
-
D.
populationCensusYear
Indicates the specific year in which an official population census was conducted or recorded for an entity.
-
E.
currentPopulation
Indicates the present number of individuals living in or belonging to a specified entity (such as a location or group).
- 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867c443081909588262bc90748af |
completed | April 29, 2026, 4:18 a.m. |
| PD | Predicate disambiguation | batch_69ef89d5f71881908b9f9d0c8aab278c |
completed | April 27, 2026, 4:07 p.m. |
Created at: April 17, 2026, 3:54 p.m.