Triple
T27853798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batalla de Las Piedras |
E704029
|
entity |
| Predicate | tieneLugarEn |
P165186
|
FINISHED |
| Object | cercanías de la villa de Las Piedras |
—
|
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: cercanías de la villa de Las Piedras | Statement: [Batalla de Las Piedras, tieneLugarEn, cercanías de la villa de Las Piedras]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tieneLugarEn Context triple: [Batalla de Las Piedras, tieneLugarEn, cercanías de la villa de Las Piedras]
-
A.
takesPlaceInRegion
Indicates that an event or occurrence happens within the boundaries of a specified geographic or administrative region.
-
B.
takesPlace
Indicates that an event or action occurs or is situated at a particular time, place, or context.
-
C.
tookPlaceInAdministrativeEntity
Indicates that an event or occurrence happened within the jurisdiction or boundaries of a specific administrative entity.
-
D.
tookPlaceAtLocation
chosen
Indicates that an event or action occurred at a specific location.
-
E.
hasPlaceIn
Indicates that one entity occupies, is located within, or holds a specific position in another entity or context.
- 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_69ef840e614c8190a88cf9638c14a265 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6617ba4a88190bfc5c305acb4f93f |
completed | May 2, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 27, 2026, 6:12 p.m.