Triple
T7690687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Béal an Átha |
E174235
|
entity |
| Predicate | hasIrishGridReference |
P78733
|
FINISHED |
| Object | G |
—
|
LITERAL 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: G | Statement: [Béal an Átha, hasIrishGridReference, G]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIrishGridReference Context triple: [Béal an Átha, hasIrishGridReference, G]
-
A.
hasOSGridReference
Indicates that an entity is associated with a specific Ordnance Survey grid reference location.
-
B.
gridReferenceType
Indicates the specific system or format used to express a location’s position within a spatial grid.
-
C.
chartPositionIreland
Indicates the position or ranking of something on a music or sales chart specifically in Ireland.
-
D.
hasTopographicalRole
Indicates that an entity serves a specific functional or positional role within a topographical or spatial context.
-
E.
distanceFromDublinCityCentre_km
Indicates the physical distance, measured in kilometers, between an entity’s location and the center of Dublin city.
- F. None of above. chosen
Provenance (4 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_69c6995966348190939e6c37ba272c06 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c706d1f0208190bc5b695aa5736244 |
completed | March 27, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69c70163dea88190ae729df50e63dfd7 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c706d0c1708190a3e74523997814b8 |
completed | March 27, 2026, 10:38 p.m. |
Created at: March 27, 2026, 4:02 p.m.