Triple
T32694933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abduwali Muse |
E835979
|
entity |
| Predicate | victimShipFlag |
P174802
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [Abduwali Muse, victimShipFlag, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: victimShipFlag Context triple: [Abduwali Muse, victimShipFlag, United States]
-
A.
victimSide
Indicates that one entity is on, represents, or corresponds to the side of the victim in a conflict, incident, or harmful event.
-
B.
shipInvolved
Indicates that a ship participates in, is associated with, or plays a role in a specified event or situation.
-
C.
victimState
Indicates the condition or status that a victim is in as a result of an event, action, or harmful incident.
-
D.
burnedShip
Indicates that one entity intentionally set fire to and burned a ship belonging to or associated with another entity.
-
E.
victimStatus
Indicates the condition or state of a person who has been harmed or wronged as a result of an event, action, or offense.
- 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_69f3493323288190a4e88251035fe96e |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c81cd47c8190b3b8d476327688b8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c77500a08190b2bdeca33bd2ac08 |
completed | May 3, 2026, 3:56 a.m. |
Created at: May 1, 2026, 1:10 a.m.