Triple
T11043887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Rafael Wilderness |
E261088
|
entity |
| Predicate | containsFeature |
P182
|
FINISHED |
| Object | Hurricane Deck |
E366167
|
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: Hurricane Deck | Statement: [San Rafael Wilderness, containsFeature, Hurricane Deck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hurricane Deck Context triple: [San Rafael Wilderness, containsFeature, Hurricane Deck]
-
A.
Hurricane Deck
Hurricane Deck is an observation platform at Niagara Falls where visitors can stand extremely close to the Bridal Veil Falls and experience intense spray and wind.
-
B.
Hurricane Deck
chosen
Hurricane Deck is a rugged, remote sandstone ridge and hiking route located within California’s San Rafael Mountains in the Los Padres National Forest.
-
C.
Stage Harbor
Stage Harbor is a scenic natural harbor in Chatham, Massachusetts, known for its sheltered waters, boating, and classic Cape Cod coastal views.
-
D.
Hurricane Streets
Hurricane Streets is a 1997 coming-of-age drama film about a troubled teenage boy navigating crime and moral choices in New York City.
-
E.
Überseehafen
Überseehafen is a major overseas port facility in Bremerhaven, Germany, serving as an important hub for international maritime trade and cargo handling.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7982d42bc81908ac10f54a7b43fb7 |
completed | April 9, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a9f180688190ab2d1142b30a2836 |
completed | April 18, 2026, 3:57 p.m. |
Created at: April 8, 2026, 9:26 p.m.