Triple
T11025195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northside Dublin |
E260599
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object | Raheny |
E800813
|
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: Raheny | Statement: [Northside Dublin, hasNeighbourhood, Raheny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raheny Context triple: [Northside Dublin, hasNeighbourhood, Raheny]
-
A.
Raheny
chosen
Raheny is a coastal suburban area on the north side of Dublin, Ireland, known for its residential character and proximity to beaches and parkland.
-
B.
Clonskeagh
Clonskeagh is a suburban area on the south side of Dublin, Ireland, known for its residential character, proximity to University College Dublin, and location along the River Dodder.
-
C.
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.
-
D.
Sandymount
Sandymount is a coastal suburb on the south side of Dublin, Ireland, known for its scenic strand and residential character.
-
E.
Rathmines
Rathmines is a vibrant residential suburb on Dublin’s south side, known for its mix of historic architecture, busy shopping streets, and a large student population.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797bf78a48190a37b423812827d4e |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e72b5e3881908e7230c03dc35f85 |
completed | April 18, 2026, 8:18 p.m. |
Created at: April 8, 2026, 9:25 p.m.