Triple
T11950870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TEN-10 Sydney |
E284419
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object | TEN-10 |
E284419
|
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: TEN-10 | Statement: [TEN-10 Sydney, callsign, TEN-10]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TEN-10 Context triple: [TEN-10 Sydney, callsign, TEN-10]
-
A.
TEN-10 Sydney
chosen
TEN-10 Sydney was the original Sydney-based television station that became part of Australia’s Network Ten commercial TV network.
-
B.
Ten’edn
Ten’edn is an Aslian language spoken by an indigenous community in the Malay Peninsula, belonging to the broader Austroasiatic language family.
-
C.
T10
T10 is a technical committee under INCITS responsible for developing standards for SCSI (Small Computer System Interface) and related storage interfaces.
-
D.
TX-10
TX-10 is the commonly used abbreviation for Texas's 10th congressional district, a U.S. House of Representatives district covering parts of central Texas.
-
E.
Ten Ten
"Ten Ten" is a popular Nigerian Afrobeats song performed by the Mo' Hits All Stars collective.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90364c2608190a3946c9595c71164 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f458f16f088190a0005ff0fd4f547f |
completed | May 1, 2026, 7:40 a.m. |
Created at: April 8, 2026, 9:45 p.m.