Triple
T15577793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sepulveda Basin |
E374412
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Reseda |
E242235
|
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: Reseda | Statement: [Sepulveda Basin, near, Reseda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reseda Context triple: [Sepulveda Basin, near, Reseda]
-
A.
Reseda
chosen
Reseda is a residential neighborhood in the central San Fernando Valley region of Los Angeles, known for its suburban character and diverse community.
-
B.
Ivesia
Ivesia is a small genus of flowering plants in the rose family (Rosaceae), commonly known as mousetail or ivesia, native mainly to western North America and adapted to rocky, mountainous habitats.
-
C.
Gaura
Gaura is another name for Chaitanya Mahaprabhu, the 16th-century Bengali saint and key figure in Gaudiya Vaishnavism who propagated congregational chanting of Krishna’s names.
-
D.
Gaura
Gaura is a small genus of North American flowering plants known for their delicate, airy blooms and is now often included within the genus Oenothera.
-
E.
Teasle
Teasle is the surname of Sheriff Will Teasle, a fictional law enforcement character best known as the antagonist in the novel and film "First Blood."
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e22c89081909b1ec0cd36a1ef45 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4b3a8881909d41204a0b243461 |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 4:11 a.m.