Triple
T1748874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zootopia |
E38393
|
entity |
| Predicate | alternateTitleRegion |
P14832
|
FINISHED |
| Object | some European markets |
—
|
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: some European markets | Statement: [Zootopia, alternateTitleRegion, some European markets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternateTitleRegion Context triple: [Zootopia, alternateTitleRegion, some European markets]
-
A.
regionalTitles
chosen
Indicates that an entity holds or is associated with titles or designations that are specific to particular geographic regions.
-
B.
regionalVariantOf
Indicates that one entity is a version or form of another that is specific to a particular geographic region or locale.
-
C.
regionallyKnownAs
Indicates that an entity is known by a particular name or designation within a specific geographic region.
-
D.
regionName
Indicates the name assigned to a specific geographic or administrative region.
-
E.
regionNamedAfter
Indicates that a geographic region derives its name from a specific person, place, event, or other entity.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab630e7d008190a8c673665d9672bb |
completed | March 6, 2026, 11:28 p.m. |
| PD | Predicate disambiguation | batch_69aa61c5a18481909bc49e0c54d64314 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.