Triple
T26747969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medway Queen |
E674453
|
entity |
| Predicate | troopsEvacuatedEstimate |
P66431
|
FINISHED |
| Object | about 7,000 men |
—
|
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: about 7,000 men | Statement: [Medway Queen, troopsEvacuatedEstimate, about 7,000 men]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: troopsEvacuatedEstimate Context triple: [Medway Queen, troopsEvacuatedEstimate, about 7,000 men]
-
A.
numberOfTroopsEvacuated
chosen
Indicates the quantity of troops that have been removed from a location or situation and transported to safety.
-
B.
numberOfEvacuatedTonsOfCargo
Indicates the quantity of cargo, measured in tons, that has been evacuated from a location or situation.
-
C.
numberOfEvacuated
Indicates the total count of individuals who have been evacuated from a location or situation.
-
D.
numberOfEvacuatedSettlements
Indicates the total count of settlements that have been evacuated.
-
E.
evacuatedBy
Indicates that an entity is removed or cleared from a place or situation through the action or assistance of another agent or process.
- 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_69eecda63a3881908095c47900692e65 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f61886fd78819096f521fd8b9b1092 |
completed | May 2, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:52 a.m.