Triple
T32493436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caguas-Juncos region |
E830451
|
entity |
| Predicate | hasCentralMunicipality |
P91674
|
FINISHED |
| Object | Caguas |
—
|
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: Caguas | Statement: [Caguas-Juncos region, hasCentralMunicipality, Caguas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCentralMunicipality Context triple: [Caguas-Juncos region, hasCentralMunicipality, Caguas]
-
A.
hasCentralTownFeature
Indicates that a town possesses a specific central feature or focal element (such as a landmark, square, or facility) that characterizes its core area.
-
B.
hasCentralCities
Indicates that an entity is associated with one or more cities that serve as its primary or central urban locations.
-
C.
isCentralLocalityOf
Indicates that a locality serves as the main or central place within a larger administrative or geographic area.
-
D.
hasCentralCounty
Indicates that an administrative or geographic region is associated with a specific county that serves as its central or primary county.
-
E.
mainMunicipality
chosen
Indicates that one municipality serves as the primary or central administrative municipality associated with another entity or area.
- 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_69f34920aa4081908d8fb0277414b911 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7979a073881909a4fde2558e6b6f3 |
completed | May 3, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 1, 2026, 12:59 a.m.