Triple
T33016954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canyon of the Crescent Moon |
E844802
|
entity |
| Predicate | templeExteriorBasedOn |
P175914
|
FINISHED |
| Object | Al-Khazneh |
—
|
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: Al-Khazneh | Statement: [Canyon of the Crescent Moon, templeExteriorBasedOn, Al-Khazneh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: templeExteriorBasedOn Context triple: [Canyon of the Crescent Moon, templeExteriorBasedOn, Al-Khazneh]
-
A.
templeType
Indicates the specific category or classification of a temple in terms of its form, function, or religious/architectural style.
-
B.
mainTemple
Indicates that one entity serves as the primary or central temple associated with another entity.
-
C.
templeComplexFeature
Indicates that one entity is a structural or functional feature that forms part of a larger temple complex.
-
D.
templeMaterial
Indicates that a temple is constructed from, or primarily composed of, a specified material.
-
E.
templeUse
Indicates that something is used as, functions as, or serves the purpose of a temple.
- F. None of above. chosen
Provenance (4 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_69f3494f3b4081909dccf2af34372a26 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d749e7f081909c8196898c4191ad |
completed | May 3, 2026, 5:04 a.m. |
Created at: May 1, 2026, 1:23 a.m.