Triple
T9272852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tara |
E222872
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Navan |
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 | Statement: [Tara, locatedNear, Navan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Navan Context triple: [Tara, locatedNear, Navan]
-
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.
Edgeworthstown
Edgeworthstown is a small town in County Longford, Ireland, historically associated with the Anglo-Irish Edgeworth family and writer Maria Edgeworth.
-
D.
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.
-
E.
Sallins
Sallins is a village in County Kildare, Ireland, known for its historic canal-side setting and role as a commuter hub near Dublin.
- 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_69ca841ffe208190aa7bcffbef2f8379 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0787d2e48190ad56cf3abf12d409 |
completed | April 1, 2026, 11:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f38567048190b1fccbab145285c9 |
completed | April 4, 2026, 11:18 a.m. |
Created at: March 30, 2026, 7:33 p.m.