Triple
T24054889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Lai village |
E595769
|
entity |
| Predicate | originalNameInVietnamese |
P32764
|
FINISHED |
| Object | Mỹ Lai |
—
|
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: Mỹ Lai | Statement: [My Lai village, originalNameInVietnamese, Mỹ Lai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalNameInVietnamese Context triple: [My Lai village, originalNameInVietnamese, Mỹ Lai]
-
A.
nameInVietnamese
chosen
Indicates that one entity is the Vietnamese-language name or designation of another entity.
-
B.
originalNameLanguage
Indicates that the specified language is the language in which an entity’s original or primary name was expressed.
-
C.
nameInOriginalLanguage
Indicates that an entity’s name is given in its original or native language form.
-
D.
spouseNameInVietnamese
Indicates that the predicate specifies the name of a person's spouse as written or expressed in the Vietnamese language.
-
E.
originalTitleName
Indicates that one entity is the original or primary title name associated with another entity.
- 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.