Triple
T8654556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oban |
E205381
|
entity |
| Predicate | connectedByFerryTo |
P1831
|
FINISHED |
| Object | Bluff |
E576289
|
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: Bluff | Statement: [Oban, connectedByFerryTo, Bluff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bluff Context triple: [Oban, connectedByFerryTo, Bluff]
-
A.
Bluff
chosen
Bluff is a small coastal town at the southern tip of New Zealand’s South Island, known as one of the country’s oldest European settlements and for its famous Bluff oysters.
-
B.
The Bluff
The Bluff is a prominent limestone plateau and the highest point on Cayman Brac, forming the island’s central ridge and most distinctive geographic feature.
-
C.
The Bluff
The Bluff is a small settlement located on South Andros Island in the Bahamas.
-
D.
Iceburgh
Iceburgh is the costumed penguin mascot of the NHL’s Pittsburgh Penguins, known for entertaining fans at games and team events.
-
E.
Kliff
Kliff is an American football coach best known for his tenure as head coach of the Arizona Cardinals in the NFL and Texas Tech at the college level.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48432568819093b9a867b4f62b78 |
completed | March 31, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccdaad2881908f131ee9da2841d1 |
completed | April 2, 2026, 8:08 p.m. |
Created at: March 30, 2026, 6:29 p.m.