Triple
T10643796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luas Red Line |
E250788
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Connolly |
E298522
|
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: Connolly | Statement: [Luas Red Line, terminus, Connolly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Connolly Context triple: [Luas Red Line, terminus, Connolly]
-
A.
Connolly
chosen
Connolly is a surname of Irish origin borne by numerous notable figures in politics, arts, and sports.
-
B.
O'Cullen
O'Cullen is an Irish surname, a variant of Cullen, typically associated with Gaelic family lineages.
-
C.
O'Connell
O'Connell is the Irish-origin surname shared by American singer-songwriter Billie Eilish and her family, including her brother and producer Finneas O'Connell.
-
D.
Guilfoyle
Guilfoyle is a surname most prominently associated in contemporary American culture with television personality and political figure Kimberly Guilfoyle.
-
E.
Dignam
Dignam is a sharp-tongued, tough-as-nails police sergeant in the crime thriller film "The Departed," known for his brutal honesty and volatile temper.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfcf65fc81909a0c86daefaab1ab |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a4dd4e48190ba7d0291686702e6 |
completed | April 10, 2026, 10:31 p.m. |
Created at: April 8, 2026, 9:05 p.m.