Triple
T6882169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dawes Plan |
E158822
|
entity |
| Predicate | languageOfAgreement |
P33549
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Dawes Plan, languageOfAgreement, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfAgreement Context triple: [Dawes Plan, languageOfAgreement, English]
-
A.
languageOfNegotiation
Indicates that a specified language is used as the medium of communication during a negotiation between parties.
-
B.
languageOfCommunications
chosen
Indicates that a specified language is used as the medium for communications associated with an entity or interaction.
-
C.
languageOfPromulgation
Indicates the language in which a law, decree, or official act is formally issued or proclaimed.
-
D.
languageOfAttestation
Indicates the language in which a statement, document, or evidence is originally recorded or attested.
-
E.
governingLanguage
Indicates the language that holds official or authoritative status over a given entity, such as a region, organization, or document.
- 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_69c688342f6c8190ad7eea6ba262db99 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8e90c9481908d00634f67fa71f8 |
completed | March 27, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b53e9881909ec298daa9f1913b |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:23 p.m.