Triple
T4610655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trans-Siberian Railway |
E100545
|
entity |
| Predicate | numberOfTimeZonesCrossed |
P57424
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Trans-Siberian Railway, numberOfTimeZonesCrossed, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTimeZonesCrossed Context triple: [Trans-Siberian Railway, numberOfTimeZonesCrossed, 8]
-
A.
hasNumberOfNationalTimeZones
Indicates the quantity of distinct official time zones that a nation or country uses within its territory.
-
B.
timeZoneDestination
Indicates the time zone associated with the destination location in a given context or event.
-
C.
hasTimeZones
Indicates that an entity is associated with one or more time zones in which it is valid or operates.
-
D.
timeZoneDifferenceBetweenIslands
Indicates the time difference in hours or minutes between the standard time zones of two islands.
-
E.
offsetRangeOfTimeZones
Indicates that one entity specifies the span or limits of time zone offsets (e.g., from minimum to maximum UTC offsets) applicable to another entity.
- 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59be3300819095e548b488c8f75e |
completed | March 20, 2026, 2:29 p.m. |
| PD | Predicate disambiguation | batch_69bd522e2d5c8190937d0b5574f78f99 |
completed | March 20, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69bd56b5f4648190834eafa666d53caa |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:12 p.m.