Triple
T11014513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuala Lumpur Tower |
E260328
|
entity |
| Predicate | hasSkyDeckHeight |
P5396
|
FINISHED |
| Object | about 300 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 300 metres | Statement: [Kuala Lumpur Tower, hasSkyDeckHeight, about 300 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSkyDeckHeight Context triple: [Kuala Lumpur Tower, hasSkyDeckHeight, about 300 metres]
-
A.
observationDeckHeight
chosen
Indicates the vertical distance of an observation deck above a reference level, typically the ground or sea level.
-
B.
hasObservationDeckAccess
Indicates that an entity is permitted to enter or use an observation deck.
-
C.
hasObservationDeckName
Indicates that an observation deck is associated with a specific name or title.
-
D.
hasSkyLobby
Indicates that a building includes a sky lobby, a shared floor located above ground level that serves as a transfer or common area for occupants.
-
E.
numberOfObservationDecks
Indicates the count of observation decks associated with or present in an 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797a49f648190a5144625d09dec6f |
completed | April 9, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69d72e96be6c8190a46c69f61b2d8cd4 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:25 p.m.