Triple
T25506776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fen Bilimleri Enstitüsü |
E639264
|
entity |
| Predicate | commonLocationWithinUniversity |
P87563
|
FINISHED |
| Object | science and engineering 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: science and engineering campus | Statement: [Fen Bilimleri Enstitüsü, commonLocationWithinUniversity, science and engineering campus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonLocationWithinUniversity Context triple: [Fen Bilimleri Enstitüsü, commonLocationWithinUniversity, science and engineering campus]
-
A.
positionOnCampus
chosen
Indicates the spatial location or placement of an entity within the boundaries or layout of a campus.
-
B.
schoolWithinUniversity
Indicates that a school (such as a college, faculty, or department) is an organizational unit that is part of and contained within a specific university.
-
C.
campusDirection
Indicates the relative directional position of one campus location with respect to another.
-
D.
cityCampus
Indicates that a campus is located within or associated with a particular city.
-
E.
campusLandmark
Indicates that something serves as a notable or recognizable landmark located on or associated with a campus.
- 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_69e75dbd09308190b6b5f0afdc12ec6d |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 21, 2026, 2:47 p.m.