Triple
T10722798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clinton |
E252863
|
entity |
| Predicate | connectsByFerryTo |
P1831
|
FINISHED |
| Object | Mukilteo |
E381138
|
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: Mukilteo | Statement: [Clinton, connectsByFerryTo, Mukilteo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mukilteo Context triple: [Clinton, connectsByFerryTo, Mukilteo]
-
A.
Mukilteo
chosen
Mukilteo is a coastal city in Washington State known for its ferry terminal, historic lighthouse, and views across Possession Sound.
-
B.
Mukilteo–Clinton
Mukilteo–Clinton is a Washington State Ferries route across Puget Sound connecting the town of Mukilteo on the mainland with Clinton on Whidbey Island.
-
C.
Mercer Island
Mercer Island is a suburban city in King County, Washington, situated on an island in Lake Washington between Seattle and Bellevue.
-
D.
Burien, Washington
Burien, Washington is a suburban city in King County, part of the Seattle metropolitan area, known for its residential neighborhoods and proximity to Seattle–Tacoma International Airport.
-
E.
Long Beach, Washington
Long Beach, Washington is a small coastal city on the Long Beach Peninsula known for its expansive sandy beach, tourism, and seaside attractions.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70d44d0048190a78aae2357e864a5 |
completed | April 9, 2026, 2:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e54263e930819099524917506c7eab |
completed | April 19, 2026, 9 p.m. |
Created at: April 8, 2026, 9:13 p.m.