Triple
T10267435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1913 Woman Suffrage Procession in Washington, D.C. |
E240744
|
entity |
| Predicate | includedSection |
P1393
|
FINISHED |
| Object | state delegations |
—
|
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: state delegations | Statement: [1913 Woman Suffrage Procession in Washington, D.C., includedSection, state delegations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includedSection Context triple: [1913 Woman Suffrage Procession in Washington, D.C., includedSection, state delegations]
-
A.
includes
chosen
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
B.
includesStatusSection
Indicates that something contains or provides a dedicated section for displaying status information.
-
C.
includedBy
Indicates that one entity is contained within, encompassed by, or treated as a subset or member of another entity.
-
D.
sectionIntroduced
Indicates that a particular section was introduced or added at a specific point in time or context.
-
E.
includedWith
Indicates that one entity is provided or packaged together as part of another entity.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2872830819080fdfa816167d04c |
completed | April 7, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ef6e6c81908a8ee52e4d28127b |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:34 a.m.