Triple
T2122569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cour Napoléon |
E43957
|
entity |
| Predicate | pyramidMaterial |
P1272
|
FINISHED |
| Object | glass and metal |
—
|
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: glass and metal | Statement: [Cour Napoléon, pyramidMaterial, glass and metal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pyramidMaterial Context triple: [Cour Napoléon, pyramidMaterial, glass and metal]
-
A.
pyramidName
Indicates that a pyramid is associated with a specific name or title.
-
B.
pyramidDesignation
Indicates that one entity is formally designated or classified as a pyramid in relation to another entity or context.
-
C.
materialDepicted
Indicates that a work or representation visually portrays or includes a particular material as part of its subject.
-
D.
material
Indicates that one entity is physically composed of, made from, or constructed using the substance or material represented by the other 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_69a88717cfe48190b7ecdd68c824848a |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb5445848190bbc6dc1236e9f749 |
completed | March 7, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69abb7bd86cc8190938ef06c1ed6d969 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:44 p.m.