Triple
T16323814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metromedia Square |
E396363
|
entity |
| Predicate | housedBroadcaster |
P16302
|
FINISHED |
| Object | KTLA |
E237379
|
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: KTLA | Statement: [Metromedia Square, housedBroadcaster, KTLA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KTLA Context triple: [Metromedia Square, housedBroadcaster, KTLA]
-
A.
KTLA
chosen
KTLA is a major Los Angeles television station known as one of the oldest continuously operating TV stations in the United States and a prominent affiliate of The CW network.
-
B.
KABC-TV
KABC-TV is a major ABC-owned television station serving the Los Angeles, California media market.
-
C.
KTVU
KTVU is a major television station serving the San Francisco Bay Area, known primarily as the local Fox network affiliate.
-
D.
KPIX-TV
KPIX-TV is a CBS-affiliated television station serving the San Francisco Bay Area.
-
E.
KCRA-TV
KCRA-TV is a television station serving the Sacramento, California market, best known as the region’s long-time NBC affiliate and a major source of local news coverage.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b8fe988190adee72b23246052f |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00260ab4208190900f21cb4f08f926 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:06 a.m.