Triple
T2357183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campanile |
E47582
|
entity |
| Predicate | observationDeckLevel |
P5396
|
FINISHED |
| Object | about 200 feet above ground |
—
|
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 200 feet above ground | Statement: [Campanile, observationDeckLevel, about 200 feet above ground]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observationDeckLevel Context triple: [Campanile, observationDeckLevel, about 200 feet above ground]
-
A.
observationDeckHeight
chosen
Indicates the vertical distance of an observation deck above a reference level, typically the ground or sea level.
-
B.
observationDeckFloor
Indicates the specific floor or level of a building on which an observation deck is located.
-
C.
numberOfObservationDecks
Indicates the count of observation decks associated with or present in an entity.
-
D.
isHighestObservationLevelOf
Indicates that one observation level represents the maximum or topmost level within a defined hierarchy or set of observation levels for another entity.
-
E.
buildingLevels
Indicates the number of floors or levels that a building has.
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abcb802da08190980100444010f91e |
completed | March 7, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69abc5981ce48190a3f7852d28276e11 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:54 p.m.