Triple
T38478646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panther (canceled predecessor project) |
E915609
|
entity |
| Predicate | marketRegionPlanned |
P12320
|
FINISHED |
| Object | North America |
—
|
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: North America | Statement: [Panther (canceled predecessor project), marketRegionPlanned, North America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketRegionPlanned Context triple: [Panther (canceled predecessor project), marketRegionPlanned, North America]
-
A.
marketRegion
chosen
Indicates the geographic or demographic area in which a product, service, or entity is actively marketed or targeted.
-
B.
regionTypePlanned
Indicates that a region is intended or designated to have a specific type or classification in a planned or future state.
-
C.
campaignRegion
Indicates the geographic area or territory in which a campaign is conducted or targeted.
-
D.
catalogRegion
Indicates the geographic or organizational region associated with a given catalog or catalog entry.
-
E.
intendedProductionRegion
Indicates the geographic area or region where something is planned or designated to be produced.
- 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_69f76e8ff5cc8190a88803369183845e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcd313e61c8190b174b331365b803f |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:31 p.m.