Triple
T12796543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas state execution chamber |
E305903
|
entity |
| Predicate | reconfiguredForLethalInjection |
P103911
|
FINISHED |
| Object | 1982 |
—
|
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: 1982 | Statement: [Texas state execution chamber, reconfiguredForLethalInjection, 1982]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reconfiguredForLethalInjection Context triple: [Texas state execution chamber, reconfiguredForLethalInjection, 1982]
-
A.
deathRowIncarceration
Indicates that an individual is incarcerated in prison under a death sentence, awaiting execution.
-
B.
hasGasChamber
Indicates that an entity possesses or contains a gas chamber used for administering gas-based processes or executions.
-
C.
usedMethodOfKilling
Indicates that one entity employed a particular method or means to carry out a killing of another entity.
-
D.
wasReconfiguredIn
chosen
Indicates that an entity underwent a change in its configuration or setup during a specified time or event.
-
E.
placeOfExecution
Indicates the location where an execution or carrying out of a sentence, order, or legal punishment took place.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6db68481909a2ca8da1287f3e0 |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d9640ed7448190b276e7fab649f7d2 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:30 p.m.