Triple
T31850707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pershing Square Capital Management |
E813057
|
entity |
| Predicate | focusGeography |
P40795
|
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: [Pershing Square Capital Management, focusGeography, North America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusGeography Context triple: [Pershing Square Capital Management, focusGeography, North America]
-
A.
locationFocus
chosen
Indicates that the primary or most relevant location associated with an entity, event, or relation is being specified or emphasized.
-
B.
mapsFocus
Indicates that one entity serves as the primary subject, area, or aspect of attention, emphasis, or concentration for another entity.
-
C.
focusFeature
Indicates that one entity is the primary or emphasized feature, aspect, or attribute being highlighted or concentrated on in relation to another.
-
D.
focusOf
Indicates that one entity is the primary subject, target, or center of attention, activity, or interest for another entity.
-
E.
geographyBehavior
Indicates how an entity behaves, functions, or interacts in relation to its geographic context or location.
- 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_69f348eb327881909b4584b925742f6e |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: April 30, 2026, 11:51 p.m.