Triple
T10741601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luas |
E253338
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Smithfield |
E886104
|
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: Smithfield | Statement: [Luas, hasStation, Smithfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smithfield Context triple: [Luas, hasStation, Smithfield]
-
A.
Smithfield
Smithfield is a small town in South Africa’s Free State province, historically known as one of the country’s older frontier settlements.
-
B.
Smithfield
Smithfield is a suburban town in northern Rhode Island known for its residential communities, local history, and the campus of Bryant University.
-
C.
Smithfield
Smithfield is a historic district in central London known for its centuries-old meat market and proximity to landmarks such as St Bartholomew-the-Great.
-
D.
Smithfield
Smithfield is a small city in northern Utah known as a residential and agricultural community within the Logan metropolitan area.
-
E.
Smithfield
chosen
Smithfield is a historic area on Dublin’s northside known for its large public square, former markets, and ongoing urban regeneration.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d710456ec88190ad8aff8804d13aa9 |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de84932abc8190907c32720e35442e |
completed | April 14, 2026, 6:16 p.m. |
Created at: April 8, 2026, 9:15 p.m.