Triple
T1217272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barnard College |
E26133
|
entity |
| Predicate | campusLocationRelativeToColumbia |
P25092
|
FINISHED |
| Object | directly across Broadway from Columbia University's main campus |
—
|
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: directly across Broadway from Columbia University's main campus | Statement: [Barnard College, campusLocationRelativeToColumbia, directly across Broadway from Columbia University's main campus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campusLocationRelativeToColumbia Context triple: [Barnard College, campusLocationRelativeToColumbia, directly across Broadway from Columbia University's main campus]
-
A.
campusAddress
Indicates that an entity has a specific address associated with a campus location.
-
B.
campusLandmark
Indicates that something serves as a notable or recognizable landmark located on or associated with a campus.
-
C.
cityCampus
Indicates that a campus is located within or associated with a particular city.
-
D.
campusArea
Indicates that one entity is the physical area or spatial extent of a campus associated with another entity.
-
E.
universityLocatedIn
Indicates that a university is situated within or associated with a specific geographic location or administrative region.
- 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be06d6308190a44c505e6b5e8d42 |
completed | March 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69a4bb62a7c08190a79dcb6ff72ac99b |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bc6d5b7881908091e40c8695ef53 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:46 p.m.