Triple
T5242387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Obelisk of Luxor |
E118373
|
entity |
| Predicate | hasTopDecoration |
P38145
|
FINISHED |
| Object | gilded pyramidion |
—
|
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: gilded pyramidion | Statement: [Obelisk of Luxor, hasTopDecoration, gilded pyramidion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTopDecoration Context triple: [Obelisk of Luxor, hasTopDecoration, gilded pyramidion]
-
A.
hasDecor
chosen
Indicates that one entity possesses, features, or is adorned with a particular decorative element or style.
-
B.
hasCeilingDecoration
Indicates that an entity features or is adorned with a decorative element on its ceiling.
-
C.
isToppedWith
Indicates that one entity serves as a topping placed on the surface of another entity.
-
D.
hasTopLevel
Indicates that one entity is the highest or primary element within a hierarchy or structure relative to another entity.
-
E.
highestDecorationOf
Indicates that one decoration or honor is the most prestigious or highest-ranking award received by a given 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b4c6fa8819099442b1b110e51fb |
completed | March 20, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69bd77c1397c8190a7fd844d7a396e54 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:49 p.m.