Triple
T7912502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dhul-Qarnayn |
E183732
|
entity |
| Predicate | buildsStructureMaterial |
P37535
|
FINISHED |
| Object | iron |
—
|
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: iron | Statement: [Dhul-Qarnayn, buildsStructureMaterial, iron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buildsStructureMaterial Context triple: [Dhul-Qarnayn, buildsStructureMaterial, iron]
-
A.
builtStructureFor
Indicates that one entity constructed or assembled a structure specifically intended for the use, benefit, or purpose of another entity.
-
B.
buildingStructure
Indicates that one entity is a structural component or physical part that forms, supports, or constitutes the construction of another entity.
-
C.
hasStationBuildingMaterial
chosen
Indicates that a station’s building is constructed from, or primarily composed of, a specified material.
-
D.
featuresMaterialFrom
Indicates that one entity incorporates, contains, or is composed of material originating from another entity.
-
E.
producesStructure
Indicates that one entity generates, forms, or creates a physical or conceptual structure as a result of its action or function.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a7383cc819084eab19799209d2e |
completed | March 31, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69cae92f9498819085277879e59aa072 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:04 p.m.