Triple
T12962467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lanzón Gallery |
E321177
|
entity |
| Predicate | functionInSite |
P95875
|
FINISHED |
| Object | core cult space of Chavín temple |
—
|
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: core cult space of Chavín temple | Statement: [Lanzón Gallery, functionInSite, core cult space of Chavín temple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: functionInSite Context triple: [Lanzón Gallery, functionInSite, core cult space of Chavín temple]
-
A.
functionWithinSite
chosen
Indicates that one function or activity occurs or is carried out within the spatial or organizational bounds of a particular site.
-
B.
functionInSystem
Indicates that an entity serves a specific role or performs a particular function within a given system.
-
C.
functionInWork
Indicates that a particular function, role, or operation is performed, utilized, or occurs within the context of a specific work or creation.
-
D.
functionInText
Indicates that a text segment serves a specific rhetorical or structural function within a larger text.
-
E.
functionInCitadel
Indicates that an entity serves a specific role or performs a particular function within a citadel.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97dba57988190b786ffed55687a72 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:17 p.m.