Triple
T19029570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gisborne wine region |
E465698
|
entity |
| Predicate | hasSubregion |
P285
|
FINISHED |
| Object | Ormond |
—
|
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: Ormond | Statement: [Gisborne wine region, hasSubregion, Ormond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ormond Context triple: [Gisborne wine region, hasSubregion, Ormond]
-
A.
Ormond
Ormond is a masculine given name of English origin that has been borne by various notable individuals.
-
B.
Ormond
chosen
Ormond is a historic cultural region in Ireland traditionally associated with the northern part of County Tipperary and the legacy of the Earls of Ormond.
-
C.
Vero Beach
Vero Beach is a coastal city in Florida known for its Atlantic beaches, relaxed resort atmosphere, and role as a gateway to the Treasure Coast.
-
D.
Deltona
Deltona is a large residential city in Volusia County known as a major suburban community within the Greater Orlando–Central Florida region.
-
E.
Fort Walton Beach
Fort Walton Beach is a coastal city in Florida known for its white-sand beaches, emerald-green Gulf waters, and role as a popular vacation and military community near Eglin Air Force Base.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d73f98dc81909acbb366f00d2d54 |
completed | April 20, 2026, 7:35 a.m. |
Created at: April 10, 2026, 12:02 p.m.