Triple
T14430452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California State Route 18 |
E357812
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Crestline |
E352548
|
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: Crestline | Statement: [California State Route 18, connects, Crestline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crestline Context triple: [California State Route 18, connects, Crestline]
-
A.
Crestline
chosen
Crestline is a small mountain community and popular lakeside getaway located in Southern California’s San Bernardino Mountains.
-
B.
Woodcrest
Woodcrest is the fictional suburban neighborhood that serves as the primary setting for the animated television series "The Boondocks."
-
C.
Crestmont
Crestmont is a community that succeeded the former locality of Gracemont, representing its modern continuation or replacement.
-
D.
Crestmont
Crestmont is a residential community and neighborhood located within Abington Township in Montgomery County, Pennsylvania.
-
E.
Cliffcrest
Cliffcrest is a residential neighborhood in Toronto, Ontario, known for its scenic bluffs, waterfront views, and access to parks along Lake Ontario.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914570f08190b1c7c1c57a0cb476 |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bd3e6c48190b4fc3794202a0c3f |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:18 a.m.