Triple
T11629000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of Ramesses II at Wadi es-Sebua |
E276346
|
entity |
| Predicate | hasGuardianFigures |
P52530
|
FINISHED |
| Object | sphinxes with ram heads |
—
|
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: sphinxes with ram heads | Statement: [Temple of Ramesses II at Wadi es-Sebua, hasGuardianFigures, sphinxes with ram heads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGuardianFigures Context triple: [Temple of Ramesses II at Wadi es-Sebua, hasGuardianFigures, sphinxes with ram heads]
-
A.
hasGuardianFigureType
chosen
Indicates the type or role of a guardian figure associated with an entity.
-
B.
hasGuardianCharacter
Indicates that one entity serves as a guardian or protective character for another entity.
-
C.
hasAnimatedFigures
Indicates that something contains or features figures that are animated or capable of motion.
-
D.
hasFictionalCollector
Indicates that an entity is associated with a fictional character who collects or curates it.
-
E.
hasMythicalFigure
Indicates that one entity is associated with, features, or includes a particular mythical or legendary figure.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a127b2688190ae3a340f851e834b |
completed | April 10, 2026, 7:05 a.m. |
| PD | Predicate disambiguation | batch_69d85dd6503c819081f9045e9d5c4f3f |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:39 p.m.