Triple
T593567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petronas Towers |
E17328
|
entity |
| Predicate | skybridgeHeight |
P16037
|
FINISHED |
| Object | about 170 metres |
—
|
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: about 170 metres | Statement: [Petronas Towers, skybridgeHeight, about 170 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: skybridgeHeight Context triple: [Petronas Towers, skybridgeHeight, about 170 metres]
-
A.
bridgeType
Indicates the specific kind or classification of a bridge associated with an entity.
-
B.
bridges
Indicates that one entity connects or links two or more other entities, allowing passage, transition, or interaction between them.
-
C.
hasMajorBridge
Indicates that one entity possesses or includes a primary or significant bridge associated with it.
-
D.
hasTrailDistanceToFootbridge
Indicates the length of the trail segment separating a given location or feature from a specified footbridge.
-
E.
tallestBuildingIn
Indicates that one entity is the tallest building located within the area or region specified by the other 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_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.