Triple
T25804617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Starkweather |
E649931
|
entity |
| Predicate | placeOfApprehension |
P24149
|
FINISHED |
| Object | Douglas, Wyoming, United States |
—
|
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: Douglas, Wyoming, United States | Statement: [Charles Starkweather, placeOfApprehension, Douglas, Wyoming, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeOfApprehension Context triple: [Charles Starkweather, placeOfApprehension, Douglas, Wyoming, United States]
-
A.
arrestedAt
chosen
Indicates that an entity was apprehended or taken into custody at a specific location or during a specific event or time.
-
B.
placeOfDetention
Indicates the location or facility where an entity is or was held in detention.
-
C.
placeOfMajorReception
Indicates the location where a person or entity received their primary or most significant formal reception, welcome, or honor.
-
D.
prisonLocatedIn
Indicates that a prison is situated within or at a specific geographic or administrative location.
-
E.
placeOfConviction
Indicates the location where a person was formally convicted of a crime or offense.
- 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_69e7ab35d264819095367f7e80c983ff |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 22, 2026, 7:02 a.m.