Triple
T2184581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zulu time |
E49120
|
entity |
| Predicate | timeZoneLetter |
P12624
|
FINISHED |
| Object | Z |
—
|
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: Z | Statement: [Zulu time, timeZoneLetter, Z]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeZoneLetter Context triple: [Zulu time, timeZoneLetter, Z]
-
A.
timeZoneName
Indicates the specific time zone designation (such as its standard name or label) associated with an entity.
-
B.
timeZoneDesignation
chosen
Indicates the specific time zone label or code assigned to an entity for representing its local time.
-
C.
timeZoneType
Indicates the classification or category of a time zone associated with an entity (e.g., standard, daylight, or specific time zone format/type).
-
D.
capitalTimeZoneOf
Indicates that a specified time zone is the primary or official time zone in which a given capital city is located or operates.
-
E.
timeZonePractice
Indicates that an entity conducts activities or operations according to a particular time zone or set of time zone rules.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf9e99f08190892d34485c8f2f25 |
completed | March 7, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69abbda32d1881909d1fd83a751fb21c |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.