Triple
T18427779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of Nuestra Señora de los Dolores, Dalcahue |
E450184
|
entity |
| Predicate | locatedInTownSquare |
P129644
|
FINISHED |
| Object | Dalcahue town square |
—
|
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: Dalcahue town square | Statement: [Church of Nuestra Señora de los Dolores, Dalcahue, locatedInTownSquare, Dalcahue town square]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInTownSquare Context triple: [Church of Nuestra Señora de los Dolores, Dalcahue, locatedInTownSquare, Dalcahue town square]
-
A.
hasPublicSquareInFront
chosen
Indicates that a building or structure has a public square located directly in front of it.
-
B.
locatedInHolyTown
Indicates that an entity is situated within a town that is considered holy or religiously significant.
-
C.
locatedInTimeSquareArea
Indicates that the entity is situated within the geographic area commonly defined as Times Square.
-
D.
usedInTown
Indicates that something is utilized, applied, or functions within the context or boundaries of a particular town.
-
E.
locatedInPlannedTown
Indicates that an entity is situated within the boundaries of a town that has been deliberately planned or designed rather than having developed organically.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51b14c4d481909af975575a43c4e1 |
completed | April 19, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69e469bf7f74819096a01173493412c2 |
completed | April 19, 2026, 5:35 a.m. |
Created at: April 10, 2026, 11:25 a.m.