Triple
T18620754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baile Uí Cheallaigh |
E455140
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object | LIMAVADY |
—
|
NE NERFINISHED |
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: LIMAVADY | Statement: [Baile Uí Cheallaigh, hasPostTown, LIMAVADY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LIMAVADY Context triple: [Baile Uí Cheallaigh, hasPostTown, LIMAVADY]
-
A.
LIMAVADY
chosen
LIMAVADY is a town in County Londonderry, Northern Ireland, serving as a local commercial and administrative center for the surrounding rural area.
-
B.
Limavady
Limavady is a town in County Londonderry, Northern Ireland, known for its historic market heritage and scenic setting near the Roe Valley.
-
C.
Mallaig
Mallaig is a small fishing port and ferry terminal on the west coast of the Scottish Highlands, serving as a key gateway to the Inner Hebrides.
-
D.
Llandovery
Llandovery is a historic market town in Carmarthenshire, Wales, known for its medieval castle ruins and role as a gateway to the Brecon Beacons.
-
E.
Maffra
Maffra is a small rural locality in the Snowy Monaro region of New South Wales, Australia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f0146f48190a872032db6e660c6 |
completed | April 19, 2026, 9:54 p.m. |
Created at: April 10, 2026, 11:46 a.m.