Triple
T10321870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sultaniyya |
E242154
|
entity |
| Predicate | materialUsedInMonuments |
P58823
|
FINISHED |
| Object | baked brick |
—
|
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: baked brick | Statement: [Sultaniyya, materialUsedInMonuments, baked brick]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialUsedInMonuments Context triple: [Sultaniyya, materialUsedInMonuments, baked brick]
-
A.
pyramidConstructionMaterial
Indicates the material from which a pyramid is built or primarily constructed.
-
B.
materialOfFortifications
Indicates that a specified material is used in the construction or composition of certain fortifications.
-
C.
materialUsed
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
D.
statueMaterialDetail
Indicates that a statue is made of, or incorporates, a specific material with detailed characterization (e.g., type, composition, or quality).
-
E.
usedInMonument
chosen
Indicates that something serves as a material, component, or element incorporated into the construction or design of a monument.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f64a648190a79980d647898eb0 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:50 a.m.