Triple
T13452753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midland Square |
E320650
|
entity |
| Predicate | observationDeckType |
P109564
|
FINISHED |
| Object | open-air observation deck |
—
|
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: open-air observation deck | Statement: [Midland Square, observationDeckType, open-air observation deck]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observationDeckType Context triple: [Midland Square, observationDeckType, open-air observation deck]
-
A.
observationDeckMaterial
Indicates the material from which an observation deck is constructed or primarily made.
-
B.
observationDeckHeight
Indicates the vertical distance of an observation deck above a reference level, typically the ground or sea level.
-
C.
observationDeckFloor
Indicates the specific floor or level of a building on which an observation deck is located.
-
D.
towerObservationDeck
Indicates that an observation deck is located on or is part of a tower.
-
E.
hasObservationDeckName
Indicates that an observation deck is associated with a specific name or title.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaefae85481909e6a59797cbb25e7 |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03ce03481908c61094f0cc0c158 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadce235f88190a6433395d2969811 |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:41 p.m.