Triple
T12641964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tujunga |
E301919
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Sunland |
E569860
|
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: Sunland | Statement: [Tujunga, adjacentTo, Sunland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunland Context triple: [Tujunga, adjacentTo, Sunland]
-
A.
Sunland
chosen
Sunland is a residential neighborhood in the northeastern San Fernando Valley region of Los Angeles, California, near the foothills of the San Gabriel Mountains.
-
B.
Palmland
Palmland was a named passenger train operated by the Seaboard Air Line Railroad that provided long-distance service in the southeastern United States.
-
C.
Love Land
Love Land is an outdoor sculpture park on South Korea’s Jeju Island known for its erotic art and playful, adult-themed exhibits.
-
D.
Wheatland
Wheatland is a small incorporated city in Northern California known for its agricultural surroundings and location within Yuba County.
-
E.
Ninesprings
Ninesprings is a popular country park and nature reserve on the outskirts of Yeovil, known for its woodland walks, lakes, and wildlife.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9614ae6ac8190b42acbf2b0331fda |
completed | April 10, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6719a45d881908dd895836a225781 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:17 p.m.