Triple
T33857892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Room 309 |
E867835
|
entity |
| Predicate | hasTeachingFacilities |
P40186
|
FINISHED |
| Object | demonstration bench |
—
|
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: demonstration bench | Statement: [Room 309, hasTeachingFacilities, demonstration bench]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTeachingFacilities Context triple: [Room 309, hasTeachingFacilities, demonstration bench]
-
A.
hasAcademicFacilities
chosen
Indicates that an entity provides or is equipped with academic facilities such as classrooms, laboratories, libraries, or other educational infrastructure.
-
B.
hasEducationFacilities
Indicates that an entity possesses or provides educational institutions, services, or infrastructure for learning and training.
-
C.
servesAsTeachingSiteFor
Indicates that one entity functions as a location or institution where teaching, training, or educational activities are conducted for another entity.
-
D.
educationFacility
Indicates that one entity functions as an institution or place where the other entity receives or provides education or training.
-
E.
featuresInstitution
Indicates that one entity includes, presents, or highlights an institution as a notable component or participant.
- 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_69f349943ccc8190a3c41a3e0ae46cbf |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fdbc5ef46c8190bbcfb9798f4615b7 |
completed | May 8, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69fdbb270338819082ce3f73903e884f |
completed | May 8, 2026, 10:29 a.m. |
Created at: May 1, 2026, 1:47 a.m.