Triple
T31818005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thayer Memorial Library |
E812188
|
entity |
| Predicate | hasComputerLab |
P204044
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Thayer Memorial Library, hasComputerLab, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComputerLab Context triple: [Thayer Memorial Library, hasComputerLab, yes]
-
A.
hasComputerWorkstations
Indicates that an entity is equipped with or provides access to computer workstations.
-
B.
hasComputersForPublicUse
chosen
Indicates that an entity provides computers that are available for use by the general public.
-
C.
computingCenter
Indicates that an entity functions as or is associated with a computing center, i.e., a facility or unit where computing resources and services are provided or managed.
-
D.
hasSupercomputer
Indicates that an entity possesses, controls, or is equipped with a supercomputer.
-
E.
hasLectureHall
Indicates that an entity possesses, includes, or is associated with a lecture hall as part of its facilities or structure.
- 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_69f348e846c081908eb468a0665afd55 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a031c6c728c81909c1d010048df71c3 |
completed | May 12, 2026, 12:26 p.m. |
| PD | Predicate disambiguation | batch_6a031bfc3b74819098c551096b1fcf00 |
completed | May 12, 2026, 12:24 p.m. |
Created at: April 30, 2026, 11:45 p.m.