Triple
T16809746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navan Fort |
E408575
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Armagh |
—
|
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: Armagh | Statement: [Navan Fort, near, Armagh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Armagh Context triple: [Navan Fort, near, Armagh]
-
A.
Armagh
chosen
Armagh is a historic city in Northern Ireland renowned as the ecclesiastical capital of Ireland and a major center of Christian heritage linked to Saint Patrick.
-
B.
Drogheda
Drogheda is a historic town in County Louth, Ireland, situated on the River Boyne and known for its medieval heritage and role in significant events of Irish history.
-
C.
Omagh
Omagh is a town in County Tyrone, Northern Ireland, known as the administrative centre of the county and tragically associated with a major 1998 bombing.
-
D.
Dundalk
Dundalk is a large unincorporated community and suburb of Baltimore, Maryland, known for its residential neighborhoods and industrial history along the Patapsco River.
-
E.
Dundalk
Dundalk is a major town in northeast Ireland near the border with Northern Ireland, known historically as a trading and industrial center.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2cf680c8190bcd640570c524918 |
completed | April 18, 2026, 4:35 p.m. |
Created at: April 10, 2026, 5:23 a.m.