Triple
T4434018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luxor Temple |
E95602
|
entity |
| Predicate | originallyHadNumberOfObelisks |
P24040
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Luxor Temple, originallyHadNumberOfObelisks, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyHadNumberOfObelisks Context triple: [Luxor Temple, originallyHadNumberOfObelisks, 2]
-
A.
hasObelisk
chosen
Indicates that one entity possesses, contains, or is associated with an obelisk.
-
B.
hasPyramids
Indicates that the subject possesses, contains, or is characterized by one or more pyramids.
-
C.
pyramidRankAtGiza
Indicates the relative ranking or ordered position of a pyramid within the set of pyramids located at Giza.
-
D.
numberOfIndividualGeoglyphsApprox
Indicates an approximate count of distinct individual geoglyphs associated with a given subject.
-
E.
associatedWithPharaoh
Indicates a relationship in which an entity has a connection, link, or involvement with a pharaoh, such as through service, rule, influence, or historical association.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35587bc048190aee8e0ed94b6e064 |
completed | March 13, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69b34f6078cc8190831b89f404198cc5 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:31 p.m.