Triple
T31836655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Campus |
E812691
|
entity |
| Predicate | primaryResidentialAreaFor |
P9064
|
FINISHED |
| Object | first-year students at Cornell University |
—
|
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: first-year students at Cornell University | Statement: [North Campus, primaryResidentialAreaFor, first-year students at Cornell University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryResidentialAreaFor Context triple: [North Campus, primaryResidentialAreaFor, first-year students at Cornell University]
-
A.
hasResidentialArea
chosen
Indicates that an entity includes, contains, or is associated with an area designated for people to live or reside.
-
B.
primaryArea
Indicates that one entity is the main or most important area, domain, or field associated with another entity.
-
C.
subdivisionOfResidence
Indicates that a residence is located within or is part of a specific smaller administrative or geographic subdivision (such as a neighborhood, district, or ward).
-
D.
ownedResidence
Indicates that one entity has ownership of a dwelling or place of residence associated with another entity.
-
E.
primaryTown
Indicates that a given town is the main or most important town associated with an entity (such as a person, organization, or region).
- 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_69f348ea7ffc8190a2ab43d80277cf59 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 11:48 p.m.