Triple
T1143887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Indonesian Time |
E23518
|
entity |
| Predicate | hoursEarlierThan |
P4416
|
FINISHED |
| Object | Central Indonesian Time by 1 hour |
—
|
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: Central Indonesian Time by 1 hour | Statement: [Western Indonesian Time, hoursEarlierThan, Central Indonesian Time by 1 hour]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hoursEarlierThan Context triple: [Western Indonesian Time, hoursEarlierThan, Central Indonesian Time by 1 hour]
-
A.
isFourHoursBehind
Indicates that one entity’s time zone or local time is exactly four hours earlier than another reference time or time zone.
-
B.
isOneHourAheadOf
chosen
Indicates that one entity’s local time is exactly one hour later than the other entity’s local time.
-
C.
isThreeHoursBehind
Indicates that one entity’s time zone or local time is exactly three hours earlier than another entity’s.
-
D.
isTwoHoursBehind
Indicates that one entity’s time zone or clock is exactly two hours earlier than another entity’s time zone or clock.
-
E.
isTwoHoursAheadOf
Indicates that one entity’s time zone or local time is exactly two hours later than another entity’s.
- F. None of above.
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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc5008d8819095c1ffb5db5b4911 |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4d4104819084027a043c6118cb |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.