Triple
T33265735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S.S. Boz-Kourt |
E851639
|
entity |
| Predicate | victimShipInCase |
P177002
|
FINISHED |
| Object | The Lotus Case |
—
|
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: The Lotus Case | Statement: [S.S. Boz-Kourt, victimShipInCase, The Lotus Case]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: victimShipInCase Context triple: [S.S. Boz-Kourt, victimShipInCase, The Lotus Case]
-
A.
victimShipFlag
Indicates that the relationship specifies the national flag or registry under which the victim ship is sailing.
-
B.
victimSide
Indicates that one entity is on, represents, or corresponds to the side of the victim in a conflict, incident, or harmful event.
-
C.
victimOrder
Indicates the sequence or ranking of victims involved in an event or incident.
-
D.
victimOrigin
Indicates that an entity is the place, group, or context from which a victim originates or is drawn.
-
E.
victimHeirTo
Indicates that the victim is the legal heir or inheritor of another person involved in the event or relationship.
- 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_69f349642dac81908a37ffcc3b976a55 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6f85bfba48190aba95b40642a8ca7 |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f814fcf48190ae4504154d1b2c05 |
completed | May 3, 2026, 7:24 a.m. |
Created at: May 1, 2026, 1:32 a.m.