Triple
T4073235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irish grid reference system |
E86697
|
entity |
| Predicate | coordinateUnits |
P12631
|
FINISHED |
| Object | metres |
—
|
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: metres | Statement: [Irish grid reference system, coordinateUnits, metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coordinateUnits Context triple: [Irish grid reference system, coordinateUnits, metres]
-
A.
nativeUnit
Indicates that one unit is the original, inherent, or default measurement unit associated with a given quantity or entity.
-
B.
coordinatesMode
Indicates that one entity specifies or controls the coordinate system or reference frame used to interpret the spatial data of another entity.
-
C.
coordinateSystem
Indicates that one entity defines or uses a particular spatial or reference coordinate system in relation to another entity.
-
D.
basedUnit
Indicates that one unit is defined in terms of, or derived from, another more fundamental unit.
-
E.
unitOfMeasure
chosen
Indicates that one entity specifies the standard unit in which the quantity or value of another entity is measured.
- F. None of above.
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_69aed93ebe448190a1f1686e28740ac9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc22be988190a2b6575d4f5e0f7b |
completed | March 9, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69aef9061d2481908307cafc9e9b32c0 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:38 p.m.