Triple
T5469614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County Tyrone |
E122797
|
entity |
| Predicate | wasCentreOf |
P164
|
FINISHED |
| Object | O’Neill of Tyrone power base |
—
|
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: O’Neill of Tyrone power base | Statement: [County Tyrone, wasCentreOf, O’Neill of Tyrone power base]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasCentreOf Context triple: [County Tyrone, wasCentreOf, O’Neill of Tyrone power base]
-
A.
centralCeremonyLocation
Indicates the place that serves as the primary or focal site where a ceremony is held.
-
B.
centerOfOrigin
Indicates the place or region where something (such as a species, product, idea, or movement) originally began or was first developed.
-
C.
isCentralTo
Indicates that something plays a primary, essential, or defining role in relation to something else, such that the latter depends on or is organized around it.
-
D.
previouslyCenteredOn
Indicates that something was formerly the main focus, reference point, or central subject of another thing, but is no longer in that central position.
-
E.
isMajorCenterOf
chosen
Indicates that a place serves as a primary hub or focal point for a particular activity, function, or domain.
- 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_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69bd91a370a88190b5d17b8a5387138d |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:09 p.m.