Triple
T4364707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of Hatshepsut at Deir el-Bahari |
E98743
|
entity |
| Predicate | builtAgainst |
P55793
|
FINISHED |
| Object | limestone cliffs of Deir el-Bahari |
—
|
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: limestone cliffs of Deir el-Bahari | Statement: [Temple of Hatshepsut at Deir el-Bahari, builtAgainst, limestone cliffs of Deir el-Bahari]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: builtAgainst Context triple: [Temple of Hatshepsut at Deir el-Bahari, builtAgainst, limestone cliffs of Deir el-Bahari]
-
A.
builtOn
Indicates that one entity is constructed, developed, or established using another entity as its base, foundation, or underlying platform.
-
B.
builtFrom
Indicates that one entity is constructed, composed, or formed using another entity as its material, component, or source.
-
C.
isBuiltFor
Indicates that one entity is specifically designed, intended, or optimized to serve, support, or accommodate another entity or purpose.
-
D.
builtAsPartOf
Indicates that one entity was constructed as a component or subset of a larger, encompassing entity or project.
-
E.
originallyBuilt
Indicates that one entity was the first or initial builder or constructor of another entity.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351fea3e88190807b99868982c491 |
completed | March 12, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69b34f53e3cc8190bf5d4dbe2413bf65 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b34ff654308190b9717526120d80d3 |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 12, 2026, 11:16 p.m.