Triple
T35167338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dheepan |
E1015438
|
entity |
| Predicate | countryOfAsylumDepicted |
P39215
|
FINISHED |
| Object | France |
E861
|
NE 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: France | Statement: [Dheepan, countryOfAsylumDepicted, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfAsylumDepicted Context triple: [Dheepan, countryOfAsylumDepicted, France]
-
A.
countryOfAsylum
chosen
Indicates that one entity serves as the country providing asylum or refuge to another entity.
-
B.
soughtAsylumAt
Indicates that an individual or group applied for protection or refuge at a particular country, institution, or authority.
-
C.
soughtAsylumBy
Indicates that one party has requested protection or refuge (asylum) from another authority or country.
-
D.
attemptedToSeekAsylumIn
Indicates that an entity tried, but may not have succeeded, to obtain asylum in a particular place or country.
-
E.
countryOfRescueDepicted
Indicates that the referenced work or depiction shows or represents the country in which a rescue takes place.
- F. None of above.
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_69f76ddbfde081908bffc91572368289 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a01b241f7308190bedb7522cb5dc069 |
completed | May 11, 2026, 10:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37d94bcb9481909a58e1964c7179ce |
completed | June 21, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_6a01b19ff12c81908ee1b188b4a3e118 |
completed | May 11, 2026, 10:38 a.m. |
Created at: May 3, 2026, 4:02 p.m.