Triple
T18433225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Signal Mountain, Tennessee |
E450324
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Signal Point |
—
|
NE NERFINISHED |
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: Signal Point | Statement: [Signal Mountain, Tennessee, namedAfter, Signal Point]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Signal Point Context triple: [Signal Mountain, Tennessee, namedAfter, Signal Point]
-
A.
Signal Point
chosen
Signal Point is a historic overlook in Signal Mountain, Tennessee, known for its panoramic views of the Tennessee River Gorge and its role as a Union signal station during the Civil War.
-
B.
Signal
Signal is the superhero alias of Duke Thomas, a member of the Batman Family who operates as a daytime vigilante in Gotham City.
-
C.
Signal
Signal is a Canadian publishing imprint known for releasing thought-provoking non-fiction works on contemporary issues.
-
D.
Signal
Signal is a privacy-focused messaging app known for its strong end-to-end encryption and open-source protocol.
-
E.
Signal
Signal is a toothpaste and oral care brand known for its focus on dental hygiene products in various international markets.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51b183adc8190987bc7749d0e673c |
completed | April 19, 2026, 6:12 p.m. |
Created at: April 10, 2026, 11:27 a.m.