Triple
T31348695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhenya Lukashin |
E799522
|
entity |
| Predicate | transportationAccidentallyTaken |
P196593
|
FINISHED |
| Object | flight from Moscow to Leningrad |
—
|
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: flight from Moscow to Leningrad | Statement: [Zhenya Lukashin, transportationAccidentallyTaken, flight from Moscow to Leningrad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportationAccidentallyTaken Context triple: [Zhenya Lukashin, transportationAccidentallyTaken, flight from Moscow to Leningrad]
-
A.
lostInAccident
Indicates that an entity was lost or destroyed as a result of an accident or unintended harmful event.
-
B.
bodyTakenTo
Indicates that a deceased person's body is transported or moved to a particular location.
-
C.
notableItemLost
Indicates that an entity has lost a particular item that is considered notable or significant.
-
D.
theftStatus
Indicates the current state or condition of an entity with respect to being stolen, such as whether it has been reported, confirmed, or suspected as theft.
-
E.
wasTransportedTo
Indicates that an entity was moved or carried from one location to another, resulting in its arrival at the specified destination.
- F. None of above. chosen
Provenance (4 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_69f224e51614819083141459a080e97c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe5d58c3e48190910aa3c23485e2c4 |
completed | May 8, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69fe5c92090c8190bcfa412c0a3619df |
completed | May 8, 2026, 9:58 p.m. |
| PDg | Predicate description generation | batch_69fe5d580d7c819097cb18d438b01d08 |
completed | May 8, 2026, 10:02 p.m. |
Created at: April 29, 2026, 9:17 p.m.