Triple
T2122561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cour Napoléon |
E43957
|
entity |
| Predicate | yearPyramidInaugurated |
P35267
|
FINISHED |
| Object | 1989 |
—
|
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: 1989 | Statement: [Cour Napoléon, yearPyramidInaugurated, 1989]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearPyramidInaugurated Context triple: [Cour Napoléon, yearPyramidInaugurated, 1989]
-
A.
pyramidRankAtGiza
Indicates the relative ranking or ordered position of a pyramid within the set of pyramids located at Giza.
-
B.
hasPyramids
Indicates that the subject possesses, contains, or is characterized by one or more pyramids.
-
C.
pyramidDesignation
Indicates that one entity is formally designated or classified as a pyramid in relation to another entity or context.
-
D.
pyramidHeightCurrent
Indicates the current measured or effective height of a pyramid.
-
E.
lastKnownHieroglyphicInscriptionYear
Indicates the year in which the final or most recent known hieroglyphic inscription associated with an entity was created or recorded.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69abb895d11881908345032595a679ba |
completed | March 7, 2026, 5:33 a.m. |
Created at: March 4, 2026, 7:44 p.m.