Triple
T16890753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trans-Mississippi and International Exposition |
E424163
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | Midway |
E951687
|
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: Midway | Statement: [Trans-Mississippi and International Exposition, hasAttraction, Midway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Midway Context triple: [Trans-Mississippi and International Exposition, hasAttraction, Midway]
-
A.
Midway
Midway is a small unincorporated community located in Chaves County in southeastern New Mexico, United States.
-
B.
Midway
Midway is a suburban village in South Derbyshire, England, situated between Swadlincote and Burton upon Trent.
-
C.
Midway
Midway is a small town located in Bullock County in the southeastern region of the U.S. state of Alabama.
-
D.
Midway
Midway was a prominent American video game developer and publisher best known for creating influential arcade titles such as the Mortal Kombat series and NBA Jam.
-
E.
Midway
chosen
Midway is a 1976 World War II war film depicting the pivotal Battle of Midway in the Pacific Theater.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc473d4819090cfea374ef5ca49 |
completed | April 18, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2c1eee48190bc906e658d7729a4 |
completed | May 10, 2026, 5:39 p.m. |
Created at: April 10, 2026, 5:29 a.m.