Triple
T1958945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torre Latinoamericana |
E42335
|
entity |
| Predicate | floorWithObservationDeck |
P1732
|
FINISHED |
| Object | 44 |
—
|
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: 44 | Statement: [Torre Latinoamericana, floorWithObservationDeck, 44]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floorWithObservationDeck Context triple: [Torre Latinoamericana, floorWithObservationDeck, 44]
-
A.
observationDeckFloor
chosen
Indicates the specific floor or level of a building on which an observation deck is located.
-
B.
numberOfObservationDecks
Indicates the count of observation decks associated with or present in an entity.
-
C.
observationDeckHeight
Indicates the vertical distance of an observation deck above a reference level, typically the ground or sea level.
-
D.
towerAttachment
Indicates that one entity is physically attached to or structurally connected with a tower.
-
E.
locatedInSkyscraper
Indicates that one entity is physically situated within or inside a skyscraper.
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb68a8e608190bc37a85913b3cd44 |
completed | March 7, 2026, 5:24 a.m. |
| PD | Predicate disambiguation | batch_69abaff5dbd48190a9d36ca60de151db |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.