Triple
T35429955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America/Cancun |
E1024027
|
entity |
| Predicate | previouslyGroupedWithZone |
P82830
|
FINISHED |
| Object | America/Mexico_City |
—
|
NE NERFINISHED |
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: America/Mexico_City | Statement: [America/Cancun, previouslyGroupedWithZone, America/Mexico_City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previouslyGroupedWithZone Context triple: [America/Cancun, previouslyGroupedWithZone, America/Mexico_City]
-
A.
historicallyGroupedWith
chosen
Indicates that two or more entities have been associated or classified together in the past based on historical context, usage, or tradition, even if they are no longer grouped that way.
-
B.
isPrimarilyZonedFor
Indicates that a particular area or property is designated mainly for a specific type of land use under zoning regulations.
-
C.
hasZone
Indicates that one entity possesses, contains, or is associated with a specific zone or designated area.
-
D.
groupedInto
Indicates that multiple entities are collected or organized together as members of a common group or category.
-
E.
precededByInGroup
Indicates that one entity comes before another in the ordered sequence within the same group or collection.
- 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_69f76df743c48190aecb6dd79efb0d95 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff6a4ce9a08190b98abde3a170dd69 |
completed | May 9, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69ff69c11634819089d1084bd2c11534 |
completed | May 9, 2026, 5:07 p.m. |
Created at: May 3, 2026, 4:03 p.m.