Triple
T6074484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Indonesia Time |
E135365
|
entity |
| Predicate | timeZoneAbbreviation |
P714
|
FINISHED |
| Object | WITA |
E559785
|
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: WITA | Statement: [Central Indonesia Time, timeZoneAbbreviation, WITA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WITA Context triple: [Central Indonesia Time, timeZoneAbbreviation, 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.
WIS
WIS is the common abbreviation for Wisła Kraków, a historic Polish football club based in Kraków.
-
C.
WAWA
WAWA is the station code for Wawa railway station, a train stop located in Wawa, New South Wales, Australia.
-
D.
Wat
Wat is a medieval English diminutive form of the given name Walter, historically used as a familiar or nickname.
-
E.
Wijiji
Wijiji is an Ancestral Puebloan great house ruin in Chaco Canyon, New Mexico, notable for its compact design and well-preserved masonry within the Chaco Culture archaeological complex.
- 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0575d4ed481908eddc88e9b90e22f |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d3fb99481909cc31c179eb4e8c9 |
completed | March 23, 2026, 11 a.m. |
Created at: March 22, 2026, 4:11 p.m.