Triple
T1188954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annex 10 Science |
E25312
|
entity |
| Predicate | isBinational |
P26170
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Annex 10 Science, isBinational, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBinational Context triple: [Annex 10 Science, isBinational, true]
-
A.
isBilingual
Indicates that an entity is able to communicate fluently in two distinct languages.
-
B.
hasDualCitizenship
Indicates that a person is legally recognized as a citizen of two different countries at the same time.
-
C.
isBilingualRegion
Indicates that a region officially uses two languages or has two predominant languages in regular use.
-
D.
isMultilateral
Indicates that a relationship, agreement, or interaction involves three or more distinct parties or entities participating together.
-
E.
mayHoldDualCitizenshipWith
Indicates that an entity is allowed to simultaneously hold citizenship in the specified other country or jurisdiction.
- F. None of above. chosen
Provenance (4 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd57c3c481908bdca483fcaa3297 |
completed | March 1, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5bacc481909e8dfd5215e4711a |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bd0ab5f88190bb583fc63b4cc150 |
completed | March 1, 2026, 10:26 p.m. |
Created at: March 1, 2026, 7:45 p.m.