Triple
T18700830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 7 World Trade Center plaza |
E457243
|
entity |
| Predicate | hasPedestrianConnectionTo |
P25669
|
FINISHED |
| Object | surrounding World Trade Center streetscape |
—
|
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: surrounding World Trade Center streetscape | Statement: [7 World Trade Center plaza, hasPedestrianConnectionTo, surrounding World Trade Center streetscape]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPedestrianConnectionTo Context triple: [7 World Trade Center plaza, hasPedestrianConnectionTo, surrounding World Trade Center streetscape]
-
A.
hasPedestrianAccessTo
chosen
Indicates that a location or area can be reached or entered safely and directly by people on foot.
-
B.
hasPedestrianOverpass
Indicates that there exists a pedestrian overpass connecting or spanning parts of the referenced location or infrastructure.
-
C.
hasWalkingRouteConnection
Indicates that there is a walkable path or route directly connecting two locations.
-
D.
hasPublicTransportConnection
Indicates that there is an available public transportation link or service connecting the related entities.
-
E.
hasConnectingStreet
Indicates that two locations are linked by a street that directly connects them.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562eb06b481908ef9efdb976008f3 |
completed | April 19, 2026, 11:19 p.m. |
| PD | Predicate disambiguation | batch_69e478de85088190ba5f005f1d39f587 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:49 a.m.