Triple
T17429331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taipei Time |
E423825
|
entity |
| Predicate | offsetFromSingaporeTime |
P127427
|
FINISHED |
| Object | same as Singapore Time |
—
|
LITERAL 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: same as Singapore Time | Statement: [Taipei Time, offsetFromSingaporeTime, same as Singapore Time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offsetFromSingaporeTime Context triple: [Taipei Time, offsetFromSingaporeTime, same as Singapore Time]
-
A.
offsetFromPhilippineTime
Indicates the time difference between a given time reference and Philippine Standard Time (PST), usually expressed in hours and minutes ahead or behind.
-
B.
offsetFromJapanStandardTime
Indicates the time difference between a given time zone or time value and Japan Standard Time (JST), typically expressed as an offset in hours or minutes.
-
C.
offsetFromBombayTime
Indicates the time difference between a given time reference and the local time in Bombay (Mumbai), typically expressed as an offset in hours or minutes.
-
D.
offsetFromJapanStandardTimeHours
Indicates the number of hours by which a time value is ahead of or behind Japan Standard Time.
-
E.
offsetFromCalcuttaTime
Indicates the time difference between a given time reference and the local time in Calcutta (Kolkata), typically expressed as an offset in hours or minutes.
- F. None of above. chosen
Provenance (4 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e448fe9e28819092a80f5686eb362f |
completed | April 19, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69e3b030eac481909b8402719cc3102e |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a33e8481908fa6ef45290d08aa |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:46 a.m.