Triple
T23418767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World War I reparations |
E560583
|
entity |
| Predicate | includedForm |
P1393
|
FINISHED |
| Object | cash payments |
—
|
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: cash payments | Statement: [World War I reparations, includedForm, cash payments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includedForm Context triple: [World War I reparations, includedForm, cash payments]
-
A.
containsForm
Indicates that one entity includes or encapsulates another entity as a form, structure, or representation within it.
-
B.
includesWildForm
Indicates that something contains or encompasses a wild or non-domesticated form of another entity.
-
C.
formsIn
Indicates that one entity takes shape, develops, or comes into existence within or inside another entity.
-
D.
relatedForm
Indicates that one entity is an alternative or variant form of another, such as a different spelling, inflection, or closely related lexical form.
-
E.
includes
chosen
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
- 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_69e2454cb1108190ab21ada5411a7146 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a5438ac08190a40a3d6402794699 |
completed | April 29, 2026, 6:29 a.m. |
| PD | Predicate disambiguation | batch_69f061ed34288190a2e5e8cae03b0095 |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:43 p.m.