Triple
T31143951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pádraig Faulkner |
E793868
|
entity |
| Predicate | representsCounty |
P98137
|
FINISHED |
| Object | Cavan |
—
|
NE NERFINISHED |
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: Cavan | Statement: [Pádraig Faulkner, representsCounty, Cavan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsCounty Context triple: [Pádraig Faulkner, representsCounty, Cavan]
-
A.
representsCountyIn
Indicates that an entity serves as an official representative or acts on behalf of a specific county.
-
B.
countyRepresented
chosen
Indicates that a person or representative serves as the official representative for a particular county in a governing or organizational context.
-
C.
inCounty
Indicates that one entity is geographically or administratively located within the boundaries of a specified county.
-
D.
depictsCounty
Indicates that something visually represents or portrays a specific county.
-
E.
includesCounty
Indicates that a larger geographic or administrative region contains or encompasses a specific county within its boundaries.
- 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_69f224d2b3a48190aa9dd26fbf6eab1a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe21b0cba48190b56c39e9f1c0eafa |
completed | May 8, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69fe204576848190aecf204e2adba5dc |
completed | May 8, 2026, 5:41 p.m. |
Created at: April 29, 2026, 9:06 p.m.