Triple
T31999267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aontroim |
E817077
|
entity |
| Predicate | countyContext |
P201781
|
FINISHED |
| Object | County Antrim |
—
|
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: County Antrim | Statement: [Aontroim, countyContext, County Antrim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countyContext Context triple: [Aontroim, countyContext, County Antrim]
-
A.
districtContext
Indicates that something occurs within, is associated with, or is interpreted in the context of a particular district or administrative area.
-
B.
cityCounty
Indicates that a city is located within, and administratively belongs to, a specific county.
-
C.
countyType
Indicates the classification or category of a county within an administrative or governmental system.
-
D.
countyFunction
Indicates that a county serves a particular administrative or governmental role or performs a specified function.
-
E.
district
Indicates that one entity is an administrative or electoral district that geographically contains or governs another entity.
- 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_69f348f8ce388190ae84376b1f348f12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a002103c93081908398fa5726f5fa6e |
completed | May 10, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_6a001fcb9fb48190a27d8f2ca983fbe6 |
completed | May 10, 2026, 6:03 a.m. |
| PDg | Predicate description generation | batch_6a00210313c08190ab581c505ef46b8e |
completed | May 10, 2026, 6:09 a.m. |
Created at: May 1, 2026, 12:14 a.m.