Triple
T23577838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asif Iqbal |
E580311
|
entity |
| Predicate | placeOfDetentionBeforeGuantanamo |
P6464
|
FINISHED |
| Object | U.S. custody in Afghanistan |
—
|
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: U.S. custody in Afghanistan | Statement: [Asif Iqbal, placeOfDetentionBeforeGuantanamo, U.S. custody in Afghanistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeOfDetentionBeforeGuantanamo Context triple: [Asif Iqbal, placeOfDetentionBeforeGuantanamo, U.S. custody in Afghanistan]
-
A.
placeOfDetention
chosen
Indicates the location or facility where an entity is or was held in detention.
-
B.
contextOfDetention
Indicates the circumstances, conditions, or situational details under which a detention takes place.
-
C.
CubanPositionOnGuantanamo
Indicates Cuba’s official stance, policy, or viewpoint regarding the status, control, and use of the Guantanamo Bay territory or facility.
-
D.
detainedBy
Indicates that an entity is being held in custody or confinement by another entity, typically an authority or controlling party.
-
E.
countryOfImprisonment
Indicates the country in which a person or entity is or was imprisoned.
- 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_69e24601a9108190bc31e83833c980e4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1afd725d88190b33c8fb26603db59 |
completed | April 29, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:38 p.m.