Triple
T19461297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ephrata train station |
E486875
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object | EPH |
—
|
NE NERFINISHED |
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: EPH | Statement: [Ephrata train station, hasStationCode, EPH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EPH Context triple: [Ephrata train station, hasStationCode, EPH]
-
A.
EPH
chosen
EPH is the IATA airport code for Ephrata Municipal Airport in Ephrata, Washington, United States.
-
B.
Ephs
Ephs is the distinctive nickname for the athletic teams representing Williams College in intercollegiate sports.
-
C.
EPI
EPI is the abbreviation for Exploding Plastic Inevitable, the multimedia performance series created by Andy Warhol that combined live music, film projections, and avant-garde art in the 1960s.
-
D.
EPI
EPI is a global public health initiative led by the World Health Organization that aims to ensure universal access to routine, life-saving vaccinations, particularly for children.
-
E.
EPI
EPI is a European aerospace consortium best known for developing and producing advanced turboprop engines for military transport aircraft, including the Airbus A400M.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633c983f481908b2684dc4380b889 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:38 p.m.