Triple
T10937601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronan O'Gara |
E258376
|
entity |
| Predicate | totalCapsForIreland |
P96735
|
FINISHED |
| Object | 128 |
—
|
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: 128 | Statement: [Ronan O'Gara, totalCapsForIreland, 128]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalCapsForIreland Context triple: [Ronan O'Gara, totalCapsForIreland, 128]
-
A.
numberOfCountiesInSouthernIreland
Indicates the total count of counties that are located within the region of Southern Ireland.
-
B.
IrishTroopStrength
Indicates the number or level of military forces associated with Ireland in a given context.
-
C.
numberOfCountiesInNorthernIreland
Indicates the total count of counties that are located within Northern Ireland.
-
D.
IrishOutcome
Indicates that an event, action, or process results in an outcome specifically associated with Ireland or Irish contexts.
-
E.
traditionalProvincesOfIreland
Indicates that one entity is a traditional province and constituent historical division of the island of Ireland.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770b065288190b4216beee8e8a193 |
completed | April 9, 2026, 9:26 a.m. |
| PD | Predicate disambiguation | batch_69d72e816a98819096d6c10dfb88a66a |
completed | April 9, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69d7322370648190ba14cdd6fb4cdcb0 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:23 p.m.