Triple
T258770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Hancock Center |
E5494
|
entity |
| Predicate | observationDeckLocation |
P1732
|
FINISHED |
| Object | 94th floor |
—
|
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: 94th floor | Statement: [John Hancock Center, observationDeckLocation, 94th floor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observationDeckLocation Context triple: [John Hancock Center, observationDeckLocation, 94th floor]
-
A.
observationDeckFloor
chosen
Indicates the specific floor or level of a building on which an observation deck is located.
-
B.
observationDeckHeight
Indicates the vertical distance of an observation deck above a reference level, typically the ground or sea level.
-
C.
telescopeLocation
Indicates the physical place or site where a telescope is situated or installed.
-
D.
observationDeckOpeningDate
Indicates the date on which an observation deck was first opened to the public.
-
E.
notableLocation
Indicates that a location is especially significant, prominent, or noteworthy in relation to the subject.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25f921c2881908821ca2c03815eae |
completed | Feb. 28, 2026, 3:22 a.m. |
| PD | Predicate disambiguation | batch_69a25b6b3ea88190bbd858999e42efae |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.