Triple
T20099990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bima Regency |
E496507
|
entity |
| Predicate | locatedInTimeZone |
P109
|
FINISHED |
| Object | WITA |
—
|
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: WITA | Statement: [Bima Regency, locatedInTimeZone, WITA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WITA Context triple: [Bima Regency, locatedInTimeZone, WITA]
-
A.
WITA
chosen
WITA is the Indonesian Central Time Zone abbreviation, used for regions such as Bali and Sulawesi, which are eight hours ahead of Coordinated Universal Time (UTC+8).
-
B.
Wito
Wito is a personal name used as an alternative spelling of Wido, typically found in certain European linguistic and cultural contexts.
-
C.
WIS
WIS is the World Meteorological Organization’s global information system for sharing and distributing meteorological, hydrological, and related environmental data.
-
D.
WIS
WIS is the standard abbreviation used for the Wisconsin Woodchucks baseball team.
-
E.
WIS
WIS is the vehicle registration code used on license plates for the district of Nordwestmecklenburg in the German state of Mecklenburg-Vorpommern.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666f2298819089659f13556ca305 |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:26 p.m.