Triple
T29102500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glenmalure Park |
E736673
|
entity |
| Predicate | typeOfStands |
P31102
|
FINISHED |
| Object | terraced stands |
—
|
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: terraced stands | Statement: [Glenmalure Park, typeOfStands, terraced stands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfStands Context triple: [Glenmalure Park, typeOfStands, terraced stands]
-
A.
hasStandsType
chosen
Indicates that an entity has or is associated with a particular type or category of stands (e.g., display stands, support stands, or similar structures).
-
B.
servesStationType
Indicates that an entity provides service to, or operates in connection with, a particular type or category of station.
-
C.
bandstandStyle
Indicates the architectural or design style characterizing a particular bandstand.
-
D.
hasStandsOnAllSides
Indicates that one entity completely surrounds and is positioned on every side of another entity.
-
E.
hasBusStandType
Indicates the specific category or type of bus stand associated with a given bus stand entity.
- 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_69f077ec765c81909474c88bcc8bab43 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fedd5a5f4c8190acce88db56303703 |
completed | May 9, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69fed910b31c8190ae837163d146738d |
completed | May 9, 2026, 6:49 a.m. |
Created at: April 28, 2026, 11:13 a.m.