Triple
T31696202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ICAO study groups |
E808923
|
entity |
| Predicate | hasDifference |
P61682
|
FINISHED |
| Object | study groups are non-permanent while panels are standing bodies |
—
|
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: study groups are non-permanent while panels are standing bodies | Statement: [ICAO study groups, hasDifference, study groups are non-permanent while panels are standing bodies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDifference Context triple: [ICAO study groups, hasDifference, study groups are non-permanent while panels are standing bodies]
-
A.
hasDifferential
Indicates that one entity is the derivative or rate-of-change expression corresponding to another entity.
-
B.
isDifferenceOf
Indicates that one quantity or entity represents the result obtained by subtracting one specified quantity or entity from another.
-
C.
hasDelta
Indicates that there is a change, difference, or deviation between two related states, values, or versions of something.
-
D.
differIn
chosen
Indicates that two entities are not the same in at least one specified aspect, attribute, or value.
-
E.
hasLexicalDifferencesWith
Indicates that two linguistic items differ from each other in their word choice or lexical form.
- 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_69f348de914081909fc8edff56f34dbe |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe30bc64308190b603ff1b30c2aeee |
completed | May 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fe2f7175b081908dd61e1513620bbe |
completed | May 8, 2026, 6:46 p.m. |
Created at: April 30, 2026, 11:10 p.m.