Triple
T2679576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aswan High Dam |
E56541
|
entity |
| Predicate | associatedRelocationProject |
P922
|
FINISHED |
| Object | Abu Simbel temples relocation |
—
|
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: Abu Simbel temples relocation | Statement: [Aswan High Dam, associatedRelocationProject, Abu Simbel temples relocation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedRelocationProject Context triple: [Aswan High Dam, associatedRelocationProject, Abu Simbel temples relocation]
-
A.
parentProject
Indicates that one project serves as the direct higher-level or containing project in relation to another project.
-
B.
affectedByProject
Indicates that an entity experiences an impact, change, or influence as a result of a specific project.
-
C.
associatedWork
chosen
Indicates that there exists a related or connected work (such as a publication, creative piece, or project) that is meaningfully linked to the subject.
-
D.
relocatedBetween
Indicates that an entity changed location from one place to another during a specified time interval or between two reference points.
-
E.
relocated
Indicates that an entity has moved or been moved from one location or position to another.
- 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abda2f7bf88190a1e3103dd014d871 |
completed | March 7, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69abd81ab9d08190b72b6104c6dbc769 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:54 p.m.