Triple
T1025343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu Rawash necropolis |
E22126
|
entity |
| Predicate | constructionMaterialSource |
P1272
|
FINISHED |
| Object | local limestone quarries |
—
|
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: local limestone quarries | Statement: [Abu Rawash necropolis, constructionMaterialSource, local limestone quarries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructionMaterialSource Context triple: [Abu Rawash necropolis, constructionMaterialSource, local limestone quarries]
-
A.
sourceMaterialType
Indicates the type or category of material from which something originates or is derived.
-
B.
quarriedFor
Indicates that a location or source is excavated or mined in order to obtain a particular material or resource.
-
C.
constructionType
Indicates the specific method or style by which something is built or constructed.
-
D.
suppliesTo
Indicates that one entity provides or delivers goods, services, or resources to another entity.
-
E.
materialUsed
chosen
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7f4c66c8190b6098fb72c1465a3 |
completed | March 1, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69a4b72619cc8190932fdfa0c74dc055 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.