Triple
T5100374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County Tyrone |
E114966
|
entity |
| Predicate | rankByAreaInIreland |
P1170
|
FINISHED |
| Object | eighth-largest county |
—
|
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: eighth-largest county | Statement: [County Tyrone, rankByAreaInIreland, eighth-largest county]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankByAreaInIreland Context triple: [County Tyrone, rankByAreaInIreland, eighth-largest county]
-
A.
rankInScotlandByArea
Indicates the numerical position of an entity in an ordered list of areas specifically within Scotland, based on its size.
-
B.
rankInBritishIslesByArea
Indicates the position of an entity in an ordered list of areas specifically within the British Isles, based on its size relative to others.
-
C.
rankByAreaInCanadaIslands
Indicates the numerical position of an island in Canada when all Canadian islands are ordered by their land area from largest to smallest.
-
D.
areaRank
chosen
Indicates the relative ordering or position of an entity based on the size of its area compared to others.
-
E.
rankInCanaryIslandsByArea
Indicates the numerical position of an entity in an ordered list of areas within the Canary Islands, from largest to smallest.
- 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd758381dc8190ac491788d27ab8e0 |
completed | March 20, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69bd715e06808190931934dc9930f997 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:40 p.m.