Triple
T1242504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copan Building |
E26688
|
entity |
| Predicate | numberOfResidents |
P3412
|
FINISHED |
| Object | over 4000 |
—
|
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: over 4000 | Statement: [Copan Building, numberOfResidents, over 4000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfResidents Context triple: [Copan Building, numberOfResidents, over 4000]
-
A.
hasVerySmallResidentPopulation
Indicates that the subject location has a resident population that is extremely small in size.
-
B.
populationIncludes
Indicates that a population contains or encompasses the specified individual(s) or subgroup(s) as members or elements.
-
C.
governedPopulation
Indicates that one entity serves as the governing authority over the population of another entity.
-
D.
populationDemonym
Indicates the term used to refer to the people or inhabitants associated with a particular place or region.
-
E.
hasPopulationApproximate
chosen
Indicates that an entity has an estimated or approximate population size, rather than an exact count.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf61fadc8190b7b9e23eaa15a61d |
completed | March 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69a4bb696a38819095845c84f0241287 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.