Triple
T32374967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huamachuco |
E827252
|
entity |
| Predicate | hasNearbyFortifiedComplex |
P66389
|
FINISHED |
| Object | Marcahuamachuco |
—
|
NE NERFINISHED |
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: Marcahuamachuco | Statement: [Huamachuco, hasNearbyFortifiedComplex, Marcahuamachuco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyFortifiedComplex Context triple: [Huamachuco, hasNearbyFortifiedComplex, Marcahuamachuco]
-
A.
hasFortificationNearby
chosen
Indicates that one entity is located in proximity to, or within the immediate area of, a fortification structure associated with it.
-
B.
hasFortificationsFrom
Indicates that an entity possesses or is protected by fortifications that originate from or were constructed by another specified source or period.
-
C.
hasFortressConstructed
Indicates that a fortress has been built or established for, by, or at the associated entity.
-
D.
isInFortifiedTown
Indicates that an entity is located within a town that is protected by defensive structures or fortifications.
-
E.
hasNearbyCivicBuilding
Indicates that one entity is located close to, or in the immediate vicinity of, a civic building such as a government, public service, or community facility.
- 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_69f349177ddc8190ab0583f05597056b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff48199b1c8190bb05872f8a4f4673 |
completed | May 9, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69ff4746b1cc8190854f70a124df7d04 |
completed | May 9, 2026, 2:40 p.m. |
Created at: May 1, 2026, 12:50 a.m.