Triple
T4829013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claremont Colleges |
E107896
|
entity |
| Predicate | sharesResources |
P30619
|
FINISHED |
| Object | libraries |
—
|
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: libraries | Statement: [Claremont Colleges, sharesResources, libraries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesResources Context triple: [Claremont Colleges, sharesResources, libraries]
-
A.
sharesResourcesWith
chosen
Indicates that two entities mutually use, access, or allocate the same resources.
-
B.
sharesUniverseWith
Indicates that two entities exist within the same fictional or narrative universe, implying shared continuity, setting, or canon.
-
C.
sharesLibrariesWith
Indicates that two entities use or depend on at least one of the same libraries or library components.
-
D.
sharesModuleWith
Indicates that two entities are associated with or participate in at least one common module.
-
E.
sharesMaterialWith
Indicates that two entities use, contain, or are associated with at least one common material.
- 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1fe130819087ae01309f96a0c8 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:24 p.m.