Triple
T27171103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TELT |
E682911
|
entity |
| Predicate | hasBinationalStatusWith |
P32547
|
FINISHED |
| Object | France |
—
|
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: France | Statement: [TELT, hasBinationalStatusWith, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBinationalStatusWith Context triple: [TELT, hasBinationalStatusWith, France]
-
A.
isBinational
Indicates that an entity is associated with or recognized by two distinct nations, such as holding dual nationality or operating under the authority of two countries.
-
B.
isBinationalComponentOf
Indicates that an entity is a component or part of a larger structure, project, or system that is jointly established, managed, or recognized by two nations.
-
C.
hasMajorBinationalComponent
Indicates that something involves a significant component jointly undertaken, governed, or shared by two different nations.
-
D.
hasBinationalCooperationBody
Indicates that there exists a formal cooperative body jointly established and operated by two nations to manage or coordinate shared interests or activities.
-
E.
dualCitizenshipStatus
chosen
Indicates that an entity holds legal citizenship in two different countries simultaneously.
- 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_69eefacf6e788190a75a64399d9e3109 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 27, 2026, 9:23 a.m.