Triple
T33903883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guilherandaises |
E869126
|
entity |
| Predicate | refersToPopulationOf |
P102370
|
FINISHED |
| Object | Guilherand-Granges |
—
|
NE NERFINISHED |
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: Guilherand-Granges | Statement: [Guilherandaises, refersToPopulationOf, Guilherand-Granges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToPopulationOf Context triple: [Guilherandaises, refersToPopulationOf, Guilherand-Granges]
-
A.
hasPopulationOf
Indicates that an entity possesses a specific number of inhabitants or residents as its population.
-
B.
corePopulationOf
Indicates that one entity is the primary or central population associated with, or constituting the main inhabitants of, another entity.
-
C.
hasPopulationApproximate
Indicates that an entity has an estimated or approximate population size, rather than an exact count.
-
D.
hasPopulationAsOf
Indicates that a population count is associated with a specific point or date in time when that population figure was valid or recorded.
-
E.
hostsPopulation
chosen
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_69f34997703c8190866b1d404bce531f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe00dad1708190b6522476bebb43af |
completed | May 8, 2026, 3:27 p.m. |
| PD | Predicate disambiguation | batch_69fdfc3717f48190bb50ac2919c8ef95 |
completed | May 8, 2026, 3:07 p.m. |
Created at: May 1, 2026, 1:48 a.m.