Triple
T593568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petronas Towers |
E17328
|
entity |
| Predicate | skybridgeFloors |
P16038
|
FINISHED |
| Object | levels 41 and 42 |
—
|
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: levels 41 and 42 | Statement: [Petronas Towers, skybridgeFloors, levels 41 and 42]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: skybridgeFloors Context triple: [Petronas Towers, skybridgeFloors, levels 41 and 42]
-
A.
bridges
Indicates that one entity connects or links two or more other entities, allowing passage, transition, or interaction between them.
-
B.
bridgeType
Indicates the specific kind or classification of a bridge associated with an entity.
-
C.
hasBalustrades
Indicates that one entity features or is equipped with balustrades as part of its structure or design.
-
D.
spires
Indicates that one entity rises or tapers upward in a tall, pointed, tower-like form from another entity.
-
E.
floorCount
Indicates the number of floors or levels that a building or structure has.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bd15c5881909b59ed4c88687e7b |
completed | March 1, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69a494cd7d3c8190af008acf34a2293b |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a4985ada988190aaea628a9b55bca4 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:33 p.m.