Triple
T35632233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doe v. Unocal Corp. |
E1029617
|
entity |
| Predicate | locationOfAbuses |
—
|
GENERATED |
| Object | Tenasserim region of Myanmar |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfAbuses Context triple: [Doe v. Unocal Corp., locationOfAbuses, Tenasserim region of Myanmar]
-
A.
percentageOfAbusesByStateForces
Indicates the proportion of total recorded abuses in a context that are attributed specifically to actions by state security or government forces.
-
B.
locationOfAttacksCondemned
Indicates that a specific location is the site of attacks that have been explicitly denounced or condemned.
-
C.
allegedMisconductLocation
chosen
Indicates the place where the alleged misconduct is reported to have occurred.
-
D.
positionOnViolence
Indicates a stance, attitude, or policy that an entity holds regarding the use, justification, or acceptability of violence.
-
E.
corruptionLocation
Indicates the place or setting where an act of corruption occurs or is centered.
- F. None of above.
Provenance (1 batch)
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_69f76e07bb0c8190968ea2d836fc42c9 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:05 p.m.