Triple
T10741607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luas |
E253338
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Grangegorman |
E286337
|
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: Grangegorman | Statement: [Luas, hasStation, Grangegorman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grangegorman Context triple: [Luas, hasStation, Grangegorman]
-
A.
Garnethill
Garnethill is a central Glasgow district known for its cultural institutions, historic tenements, and vibrant arts scene.
-
B.
Sighthill
Sighthill is a district in Edinburgh, Scotland, known for its residential areas, educational institutions, and urban regeneration projects.
-
C.
Hillhead
Hillhead is a vibrant district in Glasgow’s West End known for its proximity to the University of Glasgow, bustling Byres Road, and a mix of shops, cafes, and cultural venues.
-
D.
Grangegorman campus
chosen
Grangegorman campus is Technological University Dublin’s central urban campus in Dublin, integrating modern higher-education facilities with regenerated historic grounds.
-
E.
Kelvinside
Kelvinside is an affluent residential district in Glasgow, Scotland, known for its Victorian architecture, leafy streets, and proximity to the River Kelvin.
- 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_69de558f26e88190a9cb8f4d0539e5a5 |
completed | April 14, 2026, 2:56 p.m. |
Created at: April 8, 2026, 9:15 p.m.