Triple
T15304236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dublin Luas |
E365856
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object | Luas Red Line |
E250788
|
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: Luas Red Line | Statement: [Dublin Luas, hasLine, Luas Red Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luas Red Line Context triple: [Dublin Luas, hasLine, Luas Red Line]
-
A.
Luas Red Line
chosen
The Luas Red Line is a major light rail line in Dublin, Ireland, running from The Point/Connolly through the city centre to Tallaght and Saggart as part of the Luas tram network.
-
B.
Luas Green Line
The Luas Green Line is a major light rail line in Dublin, Ireland, running from the city center through key suburbs and serving as one of the two main routes in the Luas tram network.
-
C.
Red Line
The Red Line is a primary route of the MetroLink light rail system serving key destinations in the St. Louis metropolitan area.
-
D.
Red Line
Red Line is a major rapid transit route in the Washington Metro system, running through key areas of Washington, D.C., and its Maryland suburbs.
-
E.
Red Line
The Red Line is the primary light rail route of Houston's METRORail system, running through key central corridors including downtown and the Texas Medical Center.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ccef14c819099c5ebe962e7f867 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef89d961481909be8dcc2864982c9 |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:15 a.m.