Triple
T15052483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lehenaghmore |
E379399
|
entity |
| Predicate | nearbyPlace |
P2064
|
FINISHED |
| Object | Togher |
E379391
|
NE 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: Togher | Statement: [Lehenaghmore, nearbyPlace, Togher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Togher Context triple: [Lehenaghmore, nearbyPlace, Togher]
-
A.
Togher
chosen
Togher is a residential suburb on the southside of Cork city in Ireland, known for its local community facilities and proximity to major road links.
-
B.
Maghaberry
Maghaberry is a village in County Antrim, Northern Ireland, known primarily for housing one of the region’s main high-security prisons.
-
C.
Mullion
Mullion is a coastal village on the Lizard Peninsula in Cornwall, England, known for its scenic cove, cliffs, and historic fishing harbor.
-
D.
Roccamorice
Roccamorice is a small Italian hill town in the Abruzzo region, known for its proximity to the Maiella National Park and historic hermitages.
-
E.
Snizort
Snizort is a historic district on the Isle of Skye in Scotland, known for its coastal landscapes and early Christian heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda90b9948190a0d71de0b23188da |
completed | April 15, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5bdeee48190949b0fe63eb6a21a |
completed | May 9, 2026, 3:10 a.m. |
Created at: April 10, 2026, 3:01 a.m.