Triple
T33265780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lotus principle |
E851641
|
entity |
| Predicate | formulatedInCase |
P17594
|
FINISHED |
| Object | S.S. Lotus (France v. Turkey) |
—
|
NE NERFINISHED |
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: S.S. Lotus (France v. Turkey) | Statement: [Lotus principle, formulatedInCase, S.S. Lotus (France v. Turkey)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formulatedInCase Context triple: [Lotus principle, formulatedInCase, S.S. Lotus (France v. Turkey)]
-
A.
formulatedIn
Indicates that something was created, developed, or expressed within a particular context, place, or framework.
-
B.
developedInCase
chosen
Indicates that something (such as a method, argument, or principle) was formulated, articulated, or established within the context of a particular case.
-
C.
isFormulatedUsing
Indicates that something is created, defined, or expressed by means of a specified method, material, or set of components.
-
D.
isFormulatedBy
Indicates that something (such as a plan, idea, or substance) is created, devised, or composed by a particular agent or source.
-
E.
hasFormulation
Indicates that one entity is expressed, prepared, or configured in a particular form or composition defined by 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_69f349642dac81908a37ffcc3b976a55 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:32 a.m.