Triple
T3944380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 5 World Trade Center (planned) |
E92109
|
entity |
| Predicate | hasObservationOrAmenitySpaces |
P50321
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [5 World Trade Center (planned), hasObservationOrAmenitySpaces, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasObservationOrAmenitySpaces Context triple: [5 World Trade Center (planned), hasObservationOrAmenitySpaces, yes]
-
A.
hasPublicSpaces
Indicates that an entity includes or provides areas that are accessible and usable by the general public.
-
B.
hasPublicSpaceAlong
Indicates that a public space (such as a park, plaza, or walkway) is located adjacent to or runs alongside the referenced feature or element.
-
C.
hasObservationArea
chosen
Indicates that an entity possesses or includes a designated area from which observations or monitoring activities are conducted.
-
D.
hasObservationFacility
Indicates that an entity possesses or is associated with a facility used for observing, monitoring, or collecting data about something.
-
E.
hasObservationSite
Indicates that something (such as a measurement, event, or observation activity) is associated with or took place at a specific observation site or location.
- 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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee764235081909309b3c982f322a9 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:24 p.m.