Triple
T7372773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County Dublin |
E170049
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Blanchardstown |
E495886
|
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: Blanchardstown | Statement: [County Dublin, contains, Blanchardstown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blanchardstown Context triple: [County Dublin, contains, Blanchardstown]
-
A.
Blanchardstown
chosen
Blanchardstown is a large suburban area and major commercial and residential hub in the western part of Dublin, Ireland.
-
B.
Ballymun
Ballymun is a residential suburb on the northside of Dublin, Ireland, known for its large-scale social housing developments and subsequent urban regeneration projects.
-
C.
Deansgrange
Deansgrange is a suburban area in south County Dublin, Ireland, known for its residential character and large cemetery.
-
D.
Northside Dublin
Northside Dublin is the northern part of Ireland’s capital city, known for its central thoroughfares like O’Connell Street, major cultural and commercial areas, and significant modern landmarks.
-
E.
Bishopstown
Bishopstown is a suburban residential area on the western side of Cork city in Ireland, known for its mix of housing, educational institutions, and local amenities.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1a50898819087097a64e09e19eb |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802caa9988190bdc0ed5d5dd15979 |
completed | March 28, 2026, 4:33 p.m. |
Created at: March 27, 2026, 3:07 p.m.