Triple
T830904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pilgrims |
E17962
|
entity |
| Predicate | populationOnMayflower |
P6575
|
FINISHED |
| Object | approximately 100 passengers |
—
|
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: approximately 100 passengers | Statement: [Pilgrims, populationOnMayflower, approximately 100 passengers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationOnMayflower Context triple: [Pilgrims, populationOnMayflower, approximately 100 passengers]
-
A.
foundingPopulation
chosen
Indicates the population size or composition present at the time an entity (such as a settlement, organization, or species group) was originally founded or established.
-
B.
firstSettlersArrived
Indicates that the earliest group of settlers reached or came to a particular place or region.
-
C.
numberOfOriginalSettlerFamilies
Indicates the count of distinct families that were part of the initial group of settlers in a given place or community.
-
D.
numberOfVoyagesToAmericas
Indicates the count of distinct voyages an entity has made to the Americas.
-
E.
colonyFounded
Indicates that an entity established or created a colony at a particular time or place.
- 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abb384988190949d2df65662f76d |
completed | March 1, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69a4aa7b3d2481909199f7c9f305bdfe |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.