Triple
T16284040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kofa Mountains |
E395342
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object | Signal Peak |
E388094
|
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: Signal Peak | Statement: [Kofa Mountains, highestPoint, Signal Peak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Signal Peak Context triple: [Kofa Mountains, highestPoint, Signal Peak]
-
A.
Signal Peak
chosen
Signal Peak is a prominent mountain summit in southwestern Arizona, known as the tallest point within the rugged Kofa Mountains.
-
B.
Signal Peak
Signal Peak is the summit that forms the highest elevation in Southern California’s San Joaquin Hills.
-
C.
Signal
Signal is a toothpaste and oral care brand known for its focus on dental hygiene products in various international markets.
-
D.
Signal
Signal is a Canadian publishing imprint known for releasing thought-provoking non-fiction works on contemporary issues.
-
E.
Signal
Signal is the superhero alias of Duke Thomas, a member of the Batman Family who operates as a daytime vigilante in Gotham City.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24912c5808190a0d9c9f491315068 |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017c8f51c8190b73cdf2834eda57f |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:05 a.m.