Triple
T9836019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mukilteo–Clinton ferry |
E239103
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Clinton |
E252863
|
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: Clinton | Statement: [Mukilteo–Clinton ferry, connects, Clinton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clinton Context triple: [Mukilteo–Clinton ferry, connects, Clinton]
-
A.
Clinton
Clinton is a prominent American political surname most famously associated with Hillary Clinton, the former U.S. Secretary of State, senator, and First Lady.
-
B.
Clinton
Clinton is a small city in eastern Tennessee that serves as the county seat of Anderson County and is part of the greater Knoxville region.
-
C.
Clinton
Clinton is a Chicago 'L' rapid transit station on the Blue Line serving the city's downtown area.
-
D.
Clinton
chosen
Clinton is a small unincorporated community and ferry terminal on the southern end of Whidbey Island in Island County, Washington.
-
E.
Clinton
Clinton is a small New England town in Worcester County, Massachusetts, known historically for its textile mills and the nearby Wachusett Reservoir.
- 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_69ca84e314108190978324a4bdb959f8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb33b07688190b78a70cf535c3efc |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5ccb28c8190a580767a57474557 |
completed | April 5, 2026, 3:23 a.m. |
Created at: March 30, 2026, 8:33 p.m.