Triple
T5768064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFC 5766 |
E127261
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | TURN |
E24284
|
NE 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: TURN | Statement: [RFC 5766, abbreviation, TURN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TURN Context triple: [RFC 5766, abbreviation, TURN]
-
A.
TURN
chosen
TURN (Traversal Using Relays around NAT) is a network protocol used in real-time communications to relay media traffic when direct peer-to-peer connectivity is blocked by firewalls or NAT.
-
B.
Turn
Turn is a historical drama television series that follows a group of American spies during the Revolutionary War, based on the real-life Culper Ring.
-
C.
Turn to the Right
Turn to the Right is a 1919 American silent comedy-drama film, directed by Rex Ingram, in which actress Alice Terry played one of her early notable roles.
-
D.
Turnor
Turnor is a surname variant of "Turner," historically associated with the occupational name for someone who worked with a lathe or turned wood or metal.
-
E.
Turn It Around
"Turn It Around" is a popular indie pop song by the American band Lucius, noted for its catchy melodies and rich vocal harmonies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029731adc8190888adc8178a08e90 |
completed | March 22, 2026, 5:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c098062d2c8190a7ccddc1017e19e5 |
completed | March 23, 2026, 1:31 a.m. |
Created at: March 22, 2026, 3:49 p.m.