Triple
T21911691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church and complex of La Compañía |
E541079
|
entity |
| Predicate | builtInCityCenter |
P25976
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Church and complex of La Compañía, builtInCityCenter, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: builtInCityCenter Context triple: [Church and complex of La Compañía, builtInCityCenter, yes]
-
A.
notableCityCenter
Indicates that a location serves as a prominent or significant central area within a city.
-
B.
hasCityCentreLocation
chosen
Indicates that something is located in, or directly associated with, the central area of a city.
-
C.
builtInCity
Indicates that a structure or facility was constructed within the geographical boundaries of a specific city.
-
D.
directionFromCityCenter
Indicates the compass direction in which one location lies relative to the city center.
-
E.
hasCoordinateInCityCentreApprox
Indicates that an entity’s location is approximately within the central area of a city, based on its geographic coordinates.
- 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121da36e88190b42b82641ec54a19 |
completed | April 28, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e6be9ebf4c8190892df1a8e1313f88 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:41 p.m.