Triple
T365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Institute of Radio Engineers |
E6
|
entity |
| Predicate | historicalRole |
P22
|
FINISHED |
| Object | major professional organization for radio and electronics engineers |
—
|
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: major professional organization for radio and electronics engineers | Statement: [Institute of Radio Engineers, historicalRole, major professional organization for radio and electronics engineers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalRole Context triple: [Institute of Radio Engineers, historicalRole, major professional organization for radio and electronics engineers]
-
A.
notableFor
chosen
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
-
B.
militaryConflict
Indicates a relationship where two or more parties are engaged in organized, armed hostilities or warfare against each other.
-
C.
wasDevelopedInPeriod
Indicates that something was created, produced, or brought into existence during a specified time period.
-
D.
formerName
Indicates that an entity was previously known by a different name in the past.
-
E.
notableWork
Indicates that one entity is a significant or well-known work (such as a book, artwork, or creation) produced 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_69a222a954e48190b48f126a67485661 |
completed | Feb. 27, 2026, 11:03 p.m. |
| NER | Named-entity recognition | batch_69a228187e888190b2bb2aee9a69b61b |
completed | Feb. 27, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69a226e6f58881908808f6985f779c3c |
completed | Feb. 27, 2026, 11:21 p.m. |
Created at: Feb. 27, 2026, 11:04 p.m.