Triple
T13235134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coleta, Illinois |
E315125
|
entity |
| Predicate | populationTotal2000 |
P32997
|
FINISHED |
| Object | 155 |
—
|
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: 155 | Statement: [Coleta, Illinois, populationTotal2000, 155]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationTotal2000 Context triple: [Coleta, Illinois, populationTotal2000, 155]
-
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.
populationDemonym
Indicates the term used to refer to the people or inhabitants associated with a particular place or region.
-
C.
permanentPopulation
Indicates that an entity has a stable, long-term resident population rather than a temporary or transient presence.
-
D.
populationCount
chosen
Indicates the total number of individuals in a specified group, area, or category.
-
E.
hostsPopulation
Indicates that an entity serves as the living environment or container in which a particular population exists or resides.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d36bdf8819099949b1e0e6902d3 |
completed | April 10, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69d98bcb21648190aef241de1e7887e2 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:22 p.m.