Triple
T12934510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Network Aviation |
E309471
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
NETWORK
NETWORK is the radio callsign used by Network Aviation, an Australian regional airline operating charter and scheduled services.
|
E1010494
|
NE FINISHED |
How this triple was built (4 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: NETWORK | Statement: [Network Aviation, callsign, NETWORK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NETWORK Context triple: [Network Aviation, callsign, NETWORK]
-
A.
Network
Network is a 1976 satirical drama film directed by Sidney Lumet that critiques television news and media sensationalism.
-
B.
NET
NET is the stock ticker symbol for Cloudflare, Inc., a company that provides cloud-based web infrastructure and security services.
-
C.
NET
NET is a standardized national-level examination in India used to determine eligibility for college and university lectureship and for the award of junior research fellowships.
-
D.
NET
NET is a long-distance hiking trail in southern New England that traverses scenic ridgelines, forests, and rural landscapes in Connecticut and Massachusetts.
-
E.
NET
NET was a U.S. public television network that served as the primary national distributor of educational and cultural programming before being succeeded by PBS.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: NETWORK Triple: [Network Aviation, callsign, NETWORK]
Generated description
NETWORK is the radio callsign used by Network Aviation, an Australian regional airline operating charter and scheduled services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NETWORK Target entity description: NETWORK is the radio callsign used by Network Aviation, an Australian regional airline operating charter and scheduled services.
-
A.
Network
Network is a 1976 satirical drama film directed by Sidney Lumet that critiques television news and media sensationalism.
-
B.
NET
NET is the stock ticker symbol for Cloudflare, Inc., a company that provides cloud-based web infrastructure and security services.
-
C.
NET
NET is a standardized national-level examination in India used to determine eligibility for college and university lectureship and for the award of junior research fellowships.
-
D.
NET
NET is a long-distance hiking trail in southern New England that traverses scenic ridgelines, forests, and rural landscapes in Connecticut and Massachusetts.
-
E.
NET
NET is the NCAA’s primary ranking system used to evaluate and seed college basketball teams for postseason tournaments.
- F. None of above. chosen
Provenance (5 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97dc6517481908637781da240b51f |
completed | April 10, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af6d16388190abc848ac67bf1fb9 |
completed | May 3, 2026, 2:14 a.m. |
| NEDg | Description generation | batch_69f6b08df448819080c0a7b0921bcc9f |
completed | May 3, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b11ced30819090f67a0b1e1369aa |
completed | May 3, 2026, 2:21 a.m. |
Created at: April 9, 2026, 5:42 p.m.