Triple
T37598693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Guaynabo |
E935462
|
entity |
| Predicate | coordinatesOfSeat |
P18921
|
FINISHED |
| Object | 18.366°N 66.111°W |
—
|
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: 18.366°N 66.111°W | Statement: [Municipality of Guaynabo, coordinatesOfSeat, 18.366°N 66.111°W]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coordinatesOfSeat Context triple: [Municipality of Guaynabo, coordinatesOfSeat, 18.366°N 66.111°W]
-
A.
seatNumber
Indicates the specific numbered position assigned to a seat within a defined seating arrangement or venue.
-
B.
individualSeats
Indicates that an entity provides or consists of separate, single-person seating positions rather than shared or bench-style seating.
-
C.
seatLocation
chosen
Indicates the spatial position or placement of a seat relative to a reference point or environment.
-
D.
seatingPosition
Indicates the relative location or arrangement of an entity’s seat with respect to other seats or a reference point in a seating layout.
-
E.
seatLocatedIn
Indicates that a seat is situated within or belongs to a specific location 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_69f76ecf39c081909baffe597bb55273 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:18 p.m.