Triple
T28050416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ming treasure fleet |
E708803
|
entity |
| Predicate | estimatedNumberOfPersonnel |
P17907
|
FINISHED |
| Object | tens of thousands of sailors and soldiers |
—
|
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: tens of thousands of sailors and soldiers | Statement: [Ming treasure fleet, estimatedNumberOfPersonnel, tens of thousands of sailors and soldiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedNumberOfPersonnel Context triple: [Ming treasure fleet, estimatedNumberOfPersonnel, tens of thousands of sailors and soldiers]
-
A.
personnelStrength
Indicates the number or capacity of people assigned to or available for a particular unit, organization, or operation.
-
B.
commandingForceSize
Indicates the size or magnitude of the military or organizational force that is exercising command or control in a given context.
-
C.
staffSize
Indicates the number of staff members associated with an entity.
-
D.
personnelComposition
Indicates the makeup or distribution of people or roles within a group, organization, or unit.
-
E.
employsApproximateNumberOfPeople
chosen
Indicates that an entity employs a roughly estimated or approximate number of people, rather than an exact headcount.
- 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_69ef9b6df9f48190bbb971d02cbe1b65 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 27, 2026, 8:32 p.m.