Triple
T32068635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolis (DC Comics city) |
E818950
|
entity |
| Predicate | hasMajorResearchInstitution |
P202378
|
FINISHED |
| Object | S.T.A.R. Labs |
—
|
NE NERFINISHED |
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: S.T.A.R. Labs | Statement: [Metropolis (DC Comics city), hasMajorResearchInstitution, S.T.A.R. Labs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorResearchInstitution Context triple: [Metropolis (DC Comics city), hasMajorResearchInstitution, S.T.A.R. Labs]
-
A.
hasMajorEducationalInstitutions
Indicates that the subject possesses or hosts significant higher-level educational organizations or facilities, such as universities or major colleges.
-
B.
hasMajorUniversity
Indicates that a location or region contains at least one prominent, large, or academically significant university.
-
C.
isResearchUniversity
Indicates that an institution functions primarily as a research-focused university, emphasizing the creation of new knowledge alongside advanced education.
-
D.
isMajorCampusFor
Indicates that a particular campus serves as the primary or main campus for a given institution or organization.
-
E.
isResearchInstitution
Indicates that an entity functions primarily as an organization dedicated to conducting scientific or scholarly research.
- 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_69f348fecc088190af1470afe5a969f0 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a00781b749c8190921c46e110cae0b0 |
completed | May 10, 2026, 12:20 p.m. |
| PD | Predicate disambiguation | batch_6a0077df3c8481909fabc9e84f5936e3 |
completed | May 10, 2026, 12:19 p.m. |
| PDg | Predicate description generation | batch_6a00781ac0f48190a77e2c326a4d6693 |
completed | May 10, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:22 a.m.