Triple
T6638617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Maigue |
E150521
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Croom |
E607040
|
NE 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: Croom | Statement: [River Maigue, hasNearbySettlement, Croom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Croom Context triple: [River Maigue, hasNearbySettlement, Croom]
-
A.
Croom
chosen
Croom is a village in County Limerick, Ireland, known for its historic castle and scenic riverside setting.
-
B.
Robertstown
Robertstown is a small Irish village in County Kildare known for its historic canal-side setting and heritage as a former inland waterways hub.
-
C.
Holcombe
Holcombe is a village in Greater Manchester, England, known for its rural setting and proximity to the prominent Peel Monument on Holcombe Hill.
-
D.
Centinel
Centinel was the pseudonym used by a prominent Anti-Federalist writer who authored influential essays opposing the ratification of the U.S. Constitution in the late 1780s.
-
E.
Cumming
Cumming is a small city in Forsyth County, Georgia, known as a suburban community within the Atlanta metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c687f0ceb08190bf40807bfc605fa5 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aff082b0819089f5a69aa67d5346 |
completed | March 27, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eeed01608190bbc6461ac8c3cadb |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2 p.m.