Triple
T2905523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Europa |
E62752
|
entity |
| Predicate | abductionLocation |
P23388
|
FINISHED |
| Object | shore of Phoenicia |
—
|
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: shore of Phoenicia | Statement: [Europa, abductionLocation, shore of Phoenicia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abductionLocation Context triple: [Europa, abductionLocation, shore of Phoenicia]
-
A.
abductedFrom
chosen
Indicates that an entity was forcibly taken away or kidnapped from a specified location or source.
-
B.
abductedBy
Indicates that an entity has been forcibly taken or carried away by another entity against their will.
-
C.
abductionMotif
Indicates a relationship where an event, narrative, or depiction involves the motif of one entity abducting or forcibly carrying off another.
-
D.
arrestedAt
Indicates that an entity was apprehended or taken into custody at a specific location or during a specific event or time.
-
E.
exileLocation
Indicates the place or destination to which an entity is sent or kept in exile.
- 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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe0cee7988190875665145c3cd605 |
completed | March 7, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69abdd19bac881908f047d616aca8438 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:11 p.m.