Triple
T14636161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingston, Isle of Wight |
E343612
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Chale |
E307792
|
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: Chale | Statement: [Kingston, Isle of Wight, locatedNear, Chale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chale Context triple: [Kingston, Isle of Wight, locatedNear, Chale]
-
A.
Chale
chosen
Chale is a small coastal village on the southern side of the Isle of Wight in England, known for its rural character and proximity to dramatic sea cliffs.
-
B.
Chaleo
Chaleo was a Thai entrepreneur best known as the co-founder of the Red Bull energy drink empire.
-
C.
Chel
Chel is a clever and resourceful native woman from the animated film "The Road to El Dorado," known for her quick wit, charm, and alliance with the protagonists Tulio and Miguel.
-
D.
Bchaaleh
Bchaaleh is a historic mountain village in northern Lebanon known for its ancient olive trees and traditional Lebanese architecture.
-
E.
Chote
Chote is an alternative name for Chota, a town in the Chota District of the Cajamarca Region in northern Peru.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ab9578819085b4cf7244d30d87 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde16e85488190b0dcc2ccd2f5df4d |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:26 a.m.