Triple
T14223187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crestline |
E352548
|
entity |
| Predicate | hasNearbyCommunity |
P4647
|
FINISHED |
| Object | Running Springs |
E352006
|
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: Running Springs | Statement: [Crestline, hasNearbyCommunity, Running Springs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Running Springs Context triple: [Crestline, hasNearbyCommunity, Running Springs]
-
A.
Running Springs
chosen
Running Springs is a small mountain community and popular gateway to outdoor recreation in Southern California’s San Bernardino Mountains.
-
B.
Deep Run
Deep Run is a stream in central Maryland that serves as a tributary of the Little Patuxent River within the Chesapeake Bay watershed.
-
C.
Deep Run
Deep Run is a significant tributary stream feeding into Maryland’s Patapsco River, contributing to its watershed and regional drainage system.
-
D.
The Spring Running
The Spring Running is a short story by Rudyard Kipling featuring Mowgli at the threshold between the jungle world and human society.
-
E.
Springs
Springs is an industrial and residential city on the East Rand in Gauteng, South Africa, historically known for gold mining and manufacturing.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6227c288819081473ce44f9f0934 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd2813e55881909bdbc6f3c6ef572b |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:06 a.m.