Triple
T11149999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordan–United States relations |
E263759
|
entity |
| Predicate | mainLanguageOfDiplomacy |
P18093
|
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: [Jordan–United States relations, mainLanguageOfDiplomacy, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainLanguageOfDiplomacy Context triple: [Jordan–United States relations, mainLanguageOfDiplomacy, English]
-
A.
languageOfDebate
Indicates that a specified language is the one used for conducting a particular debate.
-
B.
languageOfNegotiation
chosen
Indicates that a specified language is used as the medium of communication during a negotiation between parties.
-
C.
diplomaticLanguage
Indicates the use of polite, tactful, and non-confrontational wording in communication between parties, especially to manage or ease sensitive or potentially conflicting situations.
-
D.
shareOfficialLanguage
Indicates that two entities have at least one official language in common.
-
E.
officialLanguage
Indicates that a particular language has been formally designated by an authority as the official language used for government, legal, or administrative purposes in a given jurisdiction.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8701ea481908c86c2359f5dc957 |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75ce71944819089eee9b5c9283cbd |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.