Triple
T10965455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxford County |
E259083
|
entity |
| Predicate | containsTownship |
P847
|
FINISHED |
| Object | Zorra |
E557080
|
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: Zorra | Statement: [Oxford County, containsTownship, Zorra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zorra Context triple: [Oxford County, containsTownship, Zorra]
-
A.
Zorra
chosen
Zorra is a rural township in southwestern Ontario, Canada, characterized by its agricultural communities and small-town settlements within Oxford County.
-
B.
Yanito
Yanito is an alternative name for Llanito, the unique mixed language spoken in Gibraltar that blends Andalusian Spanish, British English, and other linguistic influences.
-
C.
Yantzaza
Yantzaza is a town in southeastern Ecuador that serves as an administrative and commercial center in the Zamora-Chinchipe Province.
-
D.
Zorzor
Zorzor is a town in northwestern Liberia that serves as one of the main urban centers of Lofa County.
-
E.
Guabiraba
Guabiraba is a neighborhood and administrative district located in the northern part of Recife, in the state of Pernambuco, Brazil.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77148c4588190ad0f2b54ee4bab98 |
completed | April 9, 2026, 9:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d77277108190979f1b1edeac8964 |
completed | April 18, 2026, 12:59 a.m. |
Created at: April 8, 2026, 9:24 p.m.