Triple
T34247039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Sciences (FAU) |
E878624
|
entity |
| Predicate | isLocatedInOrganization |
P66605
|
FINISHED |
| Object | FAU main campus |
—
|
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: FAU main campus | Statement: [Faculty of Sciences (FAU), isLocatedInOrganization, FAU main campus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLocatedInOrganization Context triple: [Faculty of Sciences (FAU), isLocatedInOrganization, FAU main campus]
-
A.
locatedInOrganizationally
chosen
Indicates that one entity is organizationally situated within, or belongs to, another entity in terms of administrative or structural hierarchy.
-
B.
appearsInOrganization
Indicates that an entity is present, featured, or participates within a particular organization.
-
C.
hasPositionInOrganization
Indicates that an entity holds a specific role, job, or position within a particular organization.
-
D.
usedInOrganization
Indicates that something (such as a tool, method, or resource) is employed or applied within a particular organization.
-
E.
hasOrganizationFor
Indicates that one entity possesses, is associated with, or is responsible for a particular organization in relation to some context or purpose.
- 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_69f349b3618481909df955b063f305b2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7b2f3a104819098ddd8909eaf596c |
completed | May 3, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 1, 2026, 1:56 a.m.