Triple
T8452259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matador Bookstore Complex |
E199828
|
entity |
| Predicate | housesFacility |
P82716
|
FINISHED |
| Object | university bookstore |
—
|
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: university bookstore | Statement: [Matador Bookstore Complex, housesFacility, university bookstore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: housesFacility Context triple: [Matador Bookstore Complex, housesFacility, university bookstore]
-
A.
house1
Indicates that something is identified or classified as a house or dwelling.
-
B.
house
Indicates that one entity serves as a dwelling or residence for another entity.
-
C.
house2
Indicates a relationship where one entity is a secondary, related, or alternative house associated with another entity.
-
D.
houses
Indicates that one entity serves as a dwelling or shelter for another entity.
-
E.
houseUse
Indicates how a house or dwelling is used or purposed (e.g., residential, commercial, mixed-use).
- 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe449decc8190bd62f077427f9634 |
completed | March 31, 2026, 3:12 p.m. |
| PD | Predicate disambiguation | batch_69cbd0fc634481909842c0a30077bfde |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe12dd0b88190a38ec4d15dcc870b |
completed | March 31, 2026, 2:58 p.m. |
Created at: March 30, 2026, 6:09 p.m.