Triple
T25613775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Hidalgo |
E642104
|
entity |
| Predicate | hasSurroundingAreas |
P141258
|
FINISHED |
| Object | Actopan surrounding areas |
—
|
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: Actopan surrounding areas | Statement: [Central Hidalgo, hasSurroundingAreas, Actopan surrounding areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSurroundingAreas Context triple: [Central Hidalgo, hasSurroundingAreas, Actopan surrounding areas]
-
A.
hasSurroundings
Indicates that an entity is located within or encircled by a particular environment, context, or set of surrounding elements.
-
B.
hasNearbyGeographicalArea
chosen
Indicates that one geographical area is located in close spatial proximity to another geographical area.
-
C.
hasSiblingArea
Indicates that one area is a sibling of another area, meaning they share the same parent area and are at the same hierarchical level.
-
D.
hasAreaConnections
Indicates that an entity is linked to one or more surrounding or related areas, typically representing spatial or regional connections between them.
-
E.
hasProtectedAreasNearby
Indicates that an entity is located close to one or more designated protected or conservation areas.
- 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_69e75dc6ccf081908d49578fd36a76d5 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 21, 2026, 4:43 p.m.