Triple
T13026194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navan |
E326312
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object | Navan parish |
E326312
|
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: Navan parish | Statement: [Navan, hasParish, Navan parish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Navan parish Context triple: [Navan, hasParish, Navan parish]
-
A.
Navan
chosen
Navan is a town in County Meath, Ireland, known historically as a market and mining center and now a growing commuter hub for Dublin.
-
B.
Ballyforan
Ballyforan is a small village in County Roscommon, Ireland, situated near the River Suck and known for its rural community setting.
-
C.
County Armagh
County Armagh is a historic county in Northern Ireland known for its rich agricultural land, religious heritage, and role in Irish political and cultural history.
-
D.
Longford
Longford is the county town and administrative centre of County Longford in Ireland.
-
E.
Longford
Longford is a 2006 British television drama film directed by Tom Hooper that portrays the controversial relationship between Lord Longford and Moors murderer Myra Hindley.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efac71881908a21d70c3c6ce099 |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c11f83d88190bc153dba75db0995 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:53 p.m.