Triple
T13347078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarzana |
E317979
|
entity |
| Predicate | borderedBy |
P224
|
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: [Tarzana, borderedBy, Reseda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reseda Context triple: [Tarzana, borderedBy, 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.
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."
-
E.
Portulaca
Portulaca is a genus of flowering succulent plants, commonly known as purslanes, valued for their drought tolerance and brightly colored blooms.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e89c65c819093f3bea11d6073c5 |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f439b3c8190b35fd4d097d65068 |
completed | May 3, 2026, 10:11 a.m. |
Created at: April 9, 2026, 9:31 p.m.