Triple
T32017016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Alonzo Longabaugh |
E817570
|
entity |
| Predicate | relativeLocationOfDeath |
P21
|
FINISHED |
| Object | near San Vicente Canton, Bolivia |
—
|
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: near San Vicente Canton, Bolivia | Statement: [Harry Alonzo Longabaugh, relativeLocationOfDeath, near San Vicente Canton, Bolivia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeLocationOfDeath Context triple: [Harry Alonzo Longabaugh, relativeLocationOfDeath, near San Vicente Canton, Bolivia]
-
A.
presentDayLocationOfDeath
Indicates the current-day geographic location where an entity’s death occurred, expressed in terms of modern political or administrative boundaries.
-
B.
placeOfDeath
chosen
Indicates the location where an entity (typically a person or animal) died.
-
C.
traditionalPlaceOfDeath
Indicates the location where a person is customarily or culturally considered to have died, according to traditional or historical accounts.
-
D.
bodyLocationAfterDeath
Indicates the location or position of an entity’s body after its death.
-
E.
fatalitiesLocation
Indicates the place where deaths or fatal incidents occurred.
- 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_69f348f9e5d081908cc3f57c4942af52 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:16 a.m.