Triple
T24054891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Lai village |
E595769
|
entity |
| Predicate | governingCountryAtTimeOfMassacre |
P75997
|
FINISHED |
| Object | South Vietnam |
—
|
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: South Vietnam | Statement: [My Lai village, governingCountryAtTimeOfMassacre, South Vietnam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governingCountryAtTimeOfMassacre Context triple: [My Lai village, governingCountryAtTimeOfMassacre, South Vietnam]
-
A.
countryOfMartyrdom
Indicates the country in which a person was martyred.
-
B.
jurisdictionAtTimeOfMassacre
chosen
Indicates which authority or governing body had legal or administrative control over a place at the specific time when the massacre occurred.
-
C.
countryOfDeath
Indicates the country in which an entity (typically a person) died.
-
D.
nationalityAtDeath
Indicates the country or national affiliation a person held at the time of their death.
-
E.
massacreOccurred
Indicates that a large-scale, deliberate killing of multiple individuals took place in a specific event or context.
- 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_69e288c184b081909f1f1751fb8e299a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d9d551288190a2b3b6c8c4f3c1b5 |
completed | April 29, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:22 p.m.