Triple
T15433008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clann na Poblachta |
E369684
|
entity |
| Predicate | numberOfTDsElectedIn1948 |
P31812
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Clann na Poblachta, numberOfTDsElectedIn1948, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTDsElectedIn1948 Context triple: [Clann na Poblachta, numberOfTDsElectedIn1948, 10]
-
A.
numberOfTimesElectedGeneral
Indicates the number of times an entity has been elected to the position of general.
-
B.
speakerSeatsWon
Indicates the number of seats won by the entity serving or designated as the speaker in a given election or legislative context.
-
C.
membersElected
Indicates that certain individuals are chosen through an election process to serve as members of a group, body, or organization.
-
D.
electoralHistory
Indicates the historical record of elections or voting outcomes associated with an entity.
-
E.
numberOfElectedMembers
chosen
Indicates the total count of individuals who have been formally chosen through an election to serve as members of a given body or group.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03eda01cc8190843e23b260b8503c |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded27f45548190a6d2b1b85cb47444 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:21 a.m.