Triple
T9857984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | evacuation of Tallinn 1941 |
E239635
|
entity |
| Predicate | numberOfShipsInConvoy |
P39920
|
FINISHED |
| Object | over 200 |
—
|
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: over 200 | Statement: [evacuation of Tallinn 1941, numberOfShipsInConvoy, over 200]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfShipsInConvoy Context triple: [evacuation of Tallinn 1941, numberOfShipsInConvoy, over 200]
-
A.
numberOfShipsInvolved
Indicates the total count of ships that participated or were involved in a specified event or situation.
-
B.
numberOfShips
chosen
Indicates the quantity of ships associated with a given entity or situation.
-
C.
convoyProtected
Indicates that one entity provides protective escort or defense to a moving group (convoy) of other entities during transit.
-
D.
convoyComposition
Indicates that one entity is composed of, or includes as its members, the set of entities forming a convoy.
-
E.
convoyType
Indicates the specific kind or classification of convoy associated with or used in the relationship between the entities.
- 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_69ca84e6493081909cf58c8d42ea856b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb399bd8081908281d1735cc3909f |
completed | April 2, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69cd1d7621d48190aa6a6f34399514b0 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:35 p.m.