Triple
T36775085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ECT |
E908593
|
entity |
| Predicate | hasAlternativeTimeZoneInCountry |
P196379
|
FINISHED |
| Object | GALT |
—
|
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: GALT | Statement: [ECT, hasAlternativeTimeZoneInCountry, GALT]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlternativeTimeZoneInCountry Context triple: [ECT, hasAlternativeTimeZoneInCountry, GALT]
-
A.
hasTimeZones
Indicates that an entity is associated with one or more time zones in which it is valid or operates.
-
B.
isSingleTimeZoneForCountry
Indicates that a country uses a single, uniform time zone throughout its entire territory.
-
C.
hasNumberOfNationalTimeZones
Indicates the quantity of distinct official time zones that a nation or country uses within its territory.
-
D.
relatedTimeZone
Indicates that two entities are associated with or operate within the same or corresponding time zone(s).
-
E.
hasTimeZoneNote
Indicates that there is an associated note or annotation providing additional information or clarification about a time zone.
- 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_69f76e798aa08190ace31098d1b13e9f |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe2f078c24819082ba396b56f02808 |
completed | May 8, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69fe228fe1988190baf3bb34897f3dbe |
completed | May 8, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69fe2f066ac48190882c327b7e69e53f |
completed | May 8, 2026, 6:44 p.m. |
Created at: May 3, 2026, 4:12 p.m.