Triple
T11241539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chacmool sculptures |
E266083
|
entity |
| Predicate | positionWithinTemple |
P51530
|
FINISHED |
| Object | near main stairway |
—
|
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: near main stairway | Statement: [Chacmool sculptures, positionWithinTemple, near main stairway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionWithinTemple Context triple: [Chacmool sculptures, positionWithinTemple, near main stairway]
-
A.
positionInTemple
chosen
Indicates the specific location or role an entity occupies within a temple.
-
B.
timeInTemple
Indicates the amount of time an entity spends or is present within a temple.
-
C.
roleAtTemple
Indicates that an entity holds or performs a specific role, function, or position at a particular temple.
-
D.
positionInChurch
Indicates that one entity holds a specific role, office, or rank within a church organization or hierarchy.
-
E.
positionOnRitual
Indicates the stance, role, or placement an entity holds with respect to a particular ritual or ceremonial practice.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e919eaf48190a1457851cfc56afb |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d7878906f48190b63ddc103a0c8f9b |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:30 p.m.