Triple
T15028348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guyanese Creole |
E378273
|
entity |
| Predicate | hasRegion |
P285
|
FINISHED |
| Object | Demerara |
E154268
|
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: Demerara | Statement: [Guyanese Creole, hasRegion, Demerara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Demerara Context triple: [Guyanese Creole, hasRegion, Demerara]
-
A.
Demerara
chosen
Demerara was a former Dutch and later British colony on the northern coast of South America, in the area that is now part of Guyana.
-
B.
Bayaguana
Bayaguana is a historic town and municipality in the Monte Plata province of the Dominican Republic, known for its religious traditions and rural agricultural character.
-
C.
Samaná
Samaná is a municipality and town located in the Caldas Department of central Colombia, known for its mountainous landscapes and coffee-growing traditions.
-
D.
Darien
Darien is a coastal town in Fairfield County, Connecticut, known for its affluent residential character and location along Long Island Sound.
-
E.
Darien
Darien is a character in the Disney Channel series "K.C. Undercover" who serves as a romantic interest for the teenage spy K.C. Cooper.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e0e8c88190ac6f5786b4d4040f |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd967588190821cf47e9734db21 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:58 a.m.