Triple
T29347926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nebmaatre |
E744220
|
entity |
| Predicate | appearsOnMonument |
P85290
|
FINISHED |
| Object | Luxor Temple |
—
|
NE NERFINISHED |
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: Luxor Temple | Statement: [Nebmaatre, appearsOnMonument, Luxor Temple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsOnMonument Context triple: [Nebmaatre, appearsOnMonument, Luxor Temple]
-
A.
monumentDepicts
chosen
Indicates that a monument visually represents, portrays, or is dedicated to a particular person, event, concept, or object.
-
B.
appliesToMonument
Indicates that something (such as a rule, status, or attribute) is relevant or applicable specifically to a monument.
-
C.
usedInMonument
Indicates that something serves as a material, component, or element incorporated into the construction or design of a monument.
-
D.
isPublicMonument
Indicates that something is officially designated, accessible, and recognized as a monument in a public space.
-
E.
monumentName
Indicates the specific name assigned to a monument associated with an entity.
- 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_69f0a79a2d748190bc30abd469298b37 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: April 28, 2026, 2:03 p.m.