Triple
T15984709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expo/Sepulveda station |
E387662
|
entity |
| Predicate | servesNeighborhood |
P82
|
FINISHED |
| Object | Sawtelle |
E188918
|
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: Sawtelle | Statement: [Expo/Sepulveda station, servesNeighborhood, Sawtelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sawtelle Context triple: [Expo/Sepulveda station, servesNeighborhood, Sawtelle]
-
A.
Hadleyville
Hadleyville is the fictional small Western town in the classic 1952 film "High Noon," where the story’s tense showdown unfolds.
-
B.
Elliotdale
Elliotdale is a small rural town in South Africa’s Eastern Cape, situated in the former Transkei region near the Mbashe River and the Wild Coast.
-
C.
Shafter
Shafter is a small agricultural city in California’s San Joaquin Valley, located northwest of Bakersfield.
-
D.
Shafter
Shafter is a surname most notably associated with William R. Shafter, a U.S. Army general who served in the American Civil War and the Spanish–American War.
-
E.
Sawtelle, Los Angeles
chosen
Sawtelle, Los Angeles is a Westside neighborhood known for its vibrant Japanese American community, trendy eateries along Sawtelle Boulevard (“Little Osaka”), and mix of residential and commercial development.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15757a3548190900de1962308f6b8 |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3cdf7848190848e9081027dc027 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:54 a.m.