Triple
T33734283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Governors Complex |
E864365
|
entity |
| Predicate | housingCategory |
P67334
|
FINISHED |
| Object | on-campus residence |
—
|
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: on-campus residence | Statement: [Governors Complex, housingCategory, on-campus residence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: housingCategory Context triple: [Governors Complex, housingCategory, on-campus residence]
-
A.
realEstateCategory
Indicates the classification of a property into a specific type or category within real estate (e.g., residential, commercial, industrial).
-
B.
housesIcon
Indicates that one entity serves as the icon or symbolic graphical representation for another entity.
-
C.
houses
Indicates that one entity serves as a dwelling or shelter for another entity.
-
D.
housesCollection
Indicates that one entity serves as a container or repository that holds or stores a collection of other entities.
-
E.
housingForm
chosen
Indicates the type or structure of housing associated with an entity (e.g., apartment, single-family home, dormitory).
- 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_69f3498a64cc8190b4b414c67b280d93 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb2376208190868d3ffd8aebc794 |
completed | May 3, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:44 a.m.