Triple
T30034804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East India Company ships |
E763124
|
entity |
| Predicate | sailedBetween |
P120408
|
FINISHED |
| Object | Britain and India |
—
|
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: Britain and India | Statement: [East India Company ships, sailedBetween, Britain and India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sailedBetween Context triple: [East India Company ships, sailedBetween, Britain and India]
-
A.
sailedFor
Indicates that an entity departed by ship with the destination or intended service being another specified entity.
-
B.
seaVoyages
chosen
Indicates that one entity undertakes or is associated with journeys or travel by sea to or involving another entity.
-
C.
racesSailed
Indicates that an entity participated in and completed one or more sailing races.
-
D.
shipVisited
Indicates that a ship has arrived at and spent time at a particular location or port.
-
E.
hasHistoricVesselsFrom
Indicates that an entity possesses or includes historic vessels that originate from a specified place or source.
- 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_69f2246fb2b88190acff36bf7975c8f0 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f679d37ea4819096dd4a2352798748 |
completed | May 2, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69f66ec9919881908a187bfc7c4df192 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:50 p.m.