Triple
T20458454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dublin 8 |
E501856
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Dublin 2 |
—
|
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: Dublin 2 | Statement: [Dublin 8, adjacentTo, Dublin 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dublin 2 Context triple: [Dublin 8, adjacentTo, Dublin 2]
-
A.
Dublin 2
chosen
Dublin 2 is a central Dublin postal district encompassing key commercial, educational, and cultural areas of Ireland’s capital city.
-
B.
Dublin 3
Dublin 3 is a postal district on the northside of Dublin, Ireland, encompassing areas such as Clontarf and parts of Fairview and Marino.
-
C.
Dublin 1
Dublin 1 is a central Dublin postal district encompassing parts of the city’s north inner city, including major thoroughfares, commercial areas, and historic landmarks.
-
D.
Dublin 8
Dublin 8 is a central postal district on the south side of Dublin, Ireland, encompassing historic neighborhoods, cultural institutions, and government buildings.
-
E.
Dublin
Dublin is a suburban city in California’s Tri-Valley region, known for its rapid growth, diverse community, and role as a residential and commercial hub in the East Bay.
- 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a4652c8190acf79fa2e285e436 |
completed | April 20, 2026, 9:12 p.m. |
Created at: April 16, 2026, 11:33 a.m.