Triple
T3516062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expedition of the Thousand |
E74309
|
entity |
| Predicate | numberOfVolunteers |
P1131
|
FINISHED |
| Object | about 1,000 at departure |
—
|
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 1,000 at departure | Statement: [Expedition of the Thousand, numberOfVolunteers, about 1,000 at departure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfVolunteers Context triple: [Expedition of the Thousand, numberOfVolunteers, about 1,000 at departure]
-
A.
receivedVolunteersFrom
Indicates that one entity accepted or was provided with volunteers originating from another entity.
-
B.
numberOfParticipants
chosen
Indicates the total count of entities involved in a particular event, activity, or relationship.
-
C.
numberOfSupporters
Indicates the quantity of entities that provide backing, endorsement, or support to a given entity or proposition.
-
D.
hasVolunteerStatus
Indicates that an entity holds a particular volunteer-related status or role within a specified context.
-
E.
hasVolunteerBase
Indicates that an entity maintains or relies on a group of volunteers as a foundational support resource.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc30362c81908ca7497a6a935cc6 |
completed | March 8, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69adae10689c8190b7dc6d7daa8295b6 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:19 p.m.