Triple
T12457035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Museum of Aleppo |
E297684
|
entity |
| Predicate | notableArtifactType |
P94682
|
FINISHED |
| Object | cuneiform tablets |
—
|
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: cuneiform tablets | Statement: [National Museum of Aleppo, notableArtifactType, cuneiform tablets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableArtifactType Context triple: [National Museum of Aleppo, notableArtifactType, cuneiform tablets]
-
A.
notableArtObject
Indicates a relationship where an entity is recognized as an art object of particular significance, prominence, or cultural importance in connection to another entity.
-
B.
notableTypeOf
chosen
Indicates that one entity is a particularly prominent, well-known, or exemplary instance or subtype of another entity.
-
C.
notableTypeOfWork
Indicates that a work is a significant or defining example within a particular type or category of work associated with an entity.
-
D.
notableArtifactPursued
Indicates that an entity actively seeks, hunts for, or attempts to obtain a particular notable artifact.
-
E.
notableProductType
Indicates that an entity is particularly well-known or distinguished for producing or offering a specific type of product.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95151e7348190a1d4953a8b416a13 |
completed | April 10, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69d94d3c27a08190a0237200203e476d |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:56 p.m.