Triple
T21573474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hubal |
E532338
|
entity |
| Predicate | materialOfIdol |
P63956
|
FINISHED |
| Object | stone (according to traditional reports) |
—
|
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: stone (according to traditional reports) | Statement: [Hubal, materialOfIdol, stone (according to traditional reports)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialOfIdol Context triple: [Hubal, materialOfIdol, stone (according to traditional reports)]
-
A.
statueMaterialDetail
chosen
Indicates that a statue is made of, or incorporates, a specific material with detailed characterization (e.g., type, composition, or quality).
-
B.
mainAltarMaterial
Indicates the material from which the main altar is made.
-
C.
templeMaterial
Indicates that a temple is constructed from, or primarily composed of, a specified material.
-
D.
hasRitualObjectMaterial
Indicates that a ritual object is made from, composed of, or primarily constructed using a specified material.
-
E.
materialDepicted
Indicates that a work or representation visually portrays or includes a particular material as part of its subject.
- 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_69e0c4618bec8190bcb0feb74568cbb1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eee9ce230c81909e12bd59497e2237 |
completed | April 27, 2026, 4:45 a.m. |
| PD | Predicate disambiguation | batch_69e6320c8c2c81908bf031447d66a052 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:30 p.m.