Triple
T6108679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purchas his Pilgrimes |
E136176
|
entity |
| Predicate | containsMaterialFrom |
P49659
|
FINISHED |
| Object | explorers |
—
|
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: explorers | Statement: [Purchas his Pilgrimes, containsMaterialFrom, explorers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsMaterialFrom Context triple: [Purchas his Pilgrimes, containsMaterialFrom, explorers]
-
A.
featuresMaterialFrom
chosen
Indicates that one entity incorporates, contains, or is composed of material originating from another entity.
-
B.
containsNewMaterial
Indicates that one entity includes or incorporates material that is newly created or not previously existing within another entity or context.
-
C.
hasSourceMaterial
Indicates that something is derived from, based on, or created using a particular source material.
-
D.
associatedWithMaterial
Indicates a relationship where something is linked or connected to a particular material, typically as its substance, component, or relevant physical medium.
-
E.
materialProvidedFor
Indicates that one entity supplies or makes available a material for use, processing, or incorporation by another entity or purpose.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b835ed48190971c3ba397ca329f |
completed | March 22, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c049f80e2081909b7d84a104cda68d |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:13 p.m.