Triple
T30907864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lupita Ramos |
E787352
|
entity |
| Predicate | isKidnappingVictimOf |
P65587
|
FINISHED |
| Object | criminal gang in Mexico City |
—
|
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: criminal gang in Mexico City | Statement: [Lupita Ramos, isKidnappingVictimOf, criminal gang in Mexico City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isKidnappingVictimOf Context triple: [Lupita Ramos, isKidnappingVictimOf, criminal gang in Mexico City]
-
A.
wasKidnapped
chosen
Indicates that an entity was forcibly taken and held against their will by another entity.
-
B.
isVictimOf
Indicates that one entity suffers harm, loss, or wrongdoing as a result of another entity’s actions or events.
-
C.
ageAtKidnapping
Indicates the age a person was at the time they were kidnapped.
-
D.
abductedFrom
Indicates that an entity was forcibly taken away or kidnapped from a specified location or source.
-
E.
abductedIn
Indicates that an entity was forcibly taken or kidnapped at or during a specified time or event.
- 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_69f224be300c8190a6513ce1ee0a7026 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69281097081908756e0720f537ba1 |
completed | May 3, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69f68b7ec098819080480998038de940 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:50 p.m.