Triple
T2926425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Lee estuary |
E78854
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Cork city |
E78307
|
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: Cork city | Statement: [River Lee estuary, near, Cork city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cork city Context triple: [River Lee estuary, near, Cork city]
-
A.
Cork city
chosen
Cork city is a major port and the second-largest city in the Republic of Ireland, known for its rich maritime history, vibrant cultural scene, and role as the commercial and administrative center of County Cork.
-
B.
Cork
Cork is a major county in the south of Ireland, known for its vibrant cultural heritage, extensive coastline, and the city of Cork, one of the country’s largest urban centers.
-
C.
Galway
Galway is a small rural town in Saratoga County, New York, known for its scenic countryside and close-knit community.
-
D.
Galway
Galway is a vibrant coastal city in western Ireland known for its rich cultural heritage, lively arts and music scene, and historic medieval streets.
-
E.
Waterford
Waterford is a small incorporated city located in Stanislaus County in California’s Central Valley.
- 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97c1e9c08190bcec80bc3262697a |
completed | March 8, 2026, 3:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1eed825108190b3db9728d0c95fd6 |
completed | March 11, 2026, 10:38 p.m. |
Created at: March 8, 2026, 2:55 p.m.