Triple
T23035410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pari Bibi |
E573579
|
entity |
| Predicate | burialMonumentMaterial |
P66476
|
FINISHED |
| Object | white marble |
—
|
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: white marble | Statement: [Pari Bibi, burialMonumentMaterial, white marble]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: burialMonumentMaterial Context triple: [Pari Bibi, burialMonumentMaterial, white marble]
-
A.
mainAltarMaterial
Indicates the material from which the main altar is made.
-
B.
hasSarcophagusMaterial
chosen
Indicates that a sarcophagus is made from, or primarily composed of, a specified material.
-
C.
statueMaterialDetail
Indicates that a statue is made of, or incorporates, a specific material with detailed characterization (e.g., type, composition, or quality).
-
D.
hasBurialMonumentType
Indicates that an entity is associated with a burial whose monument is of a specified type.
-
E.
stoneMaterial
Indicates that something is made of, or primarily composed of, stone as its material.
- 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1850df7fc81909ee522d99d96af0d |
completed | April 29, 2026, 4:11 a.m. |
| PD | Predicate disambiguation | batch_69ef3ba004a48190885aece88efd1f52 |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 17, 2026, 3:53 p.m.