Triple
T30321850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campanile of Trinity College Dublin |
E771221
|
entity |
| Predicate | positionInCampus |
P87563
|
FINISHED |
| Object | near the centre of the historic 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: near the centre of the historic campus | Statement: [Campanile of Trinity College Dublin, positionInCampus, near the centre of the historic campus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInCampus Context triple: [Campanile of Trinity College Dublin, positionInCampus, near the centre of the historic campus]
-
A.
positionOnCampus
chosen
Indicates the spatial location or placement of an entity within the boundaries or layout of a campus.
-
B.
campusDirection
Indicates the relative directional position of one campus location with respect to another.
-
C.
hasCoordinateCampusSystem
Indicates that an educational institution is part of, or associated with, a coordinated multi-campus system.
-
D.
campusQuadrant
Indicates the specific sector or quadrant of a campus in which an entity is located or to which it belongs.
-
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_69f22489ee8481909344649bfbb92e83 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fdee770af48190aca2670db50f8b49 |
completed | May 8, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69fdecec98a08190a357d816dc2a6dbe |
completed | May 8, 2026, 2:02 p.m. |
Created at: April 29, 2026, 7:52 p.m.