Triple
T6852312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beach 36th Street |
E158048
|
entity |
| Predicate | stationHouseLocation |
P56431
|
FINISHED |
| Object | beneath tracks |
—
|
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: beneath tracks | Statement: [Beach 36th Street, stationHouseLocation, beneath tracks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stationHouseLocation Context triple: [Beach 36th Street, stationHouseLocation, beneath tracks]
-
A.
hasStationHouseLocation
chosen
Indicates that a station house is located at or associated with a specific place or geographic location.
-
B.
isStationHouseOf
Indicates that a particular station building or facility serves as the designated station house for a given station or transit stop.
-
C.
locationOfFacility
Indicates that a facility is situated at or associated with a specific geographic location.
-
D.
streetLocation
Indicates that one entity is located on, along, or at a specific street associated with the other entity.
-
E.
headquartersStation
Indicates that a particular station serves as the main headquarters location for an organization or entity.
- 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_69c6882fae988190864cbba788c5ebb4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d84fffbc8190943ca7f3f03937e9 |
completed | March 27, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69c6d0a12834819097d7e6c0b823745e |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:20 p.m.