Triple
T36320151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Big Trees |
E894307
|
entity |
| Predicate | religiousGroupInPlot |
P7903
|
FINISHED |
| Object | Quaker settlers |
—
|
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: Quaker settlers | Statement: [The Big Trees, religiousGroupInPlot, Quaker settlers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousGroupInPlot Context triple: [The Big Trees, religiousGroupInPlot, Quaker settlers]
-
A.
religiousInstitutionInPlot
Indicates that a religious institution (such as a church, temple, mosque, or similar place of worship) is present or involved within the spatial or narrative context of the plot.
-
B.
religiousGroupAffected
Indicates that a religious group is the one impacted, targeted, or otherwise affected by the referenced event, action, or condition.
-
C.
religiousGroupMentioned
Indicates that a religious group is referenced or mentioned in the given context or statement.
-
D.
religiousGroupsPresent
chosen
Indicates that one or more religious groups are present or represented in a given context, location, or situation.
-
E.
religiousAffiliation
Indicates that one entity has a specified religious association, belief system, or denominational membership.
- 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_69f76e4d1a788190a6ab6ccca28547a7 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffed8912488190baa05f572e5b1b89 |
completed | May 10, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69ffed12a76c8190ad85c6ac869c72e9 |
completed | May 10, 2026, 2:27 a.m. |
Created at: May 3, 2026, 4:09 p.m.