Triple
T21357310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conejos County |
E526667
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Manassa |
—
|
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: Manassa | Statement: [Conejos County, contains, Manassa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manassa Context triple: [Conejos County, contains, Manassa]
-
A.
Manassa
chosen
Manassa is a small rural town in southern Colorado known as the birthplace of heavyweight boxing champion Jack Dempsey.
-
B.
Mingo City
Mingo City is the capital stronghold of the tyrant Ming the Merciless on the planet Mongo in the Flash Gordon universe.
-
C.
Kelso
Kelso was a legendary American Thoroughbred racehorse, widely regarded as one of the greatest in history for his multiple Horse of the Year titles and dominance in major stakes races.
-
D.
Kelso
Kelso is a historic market town in the Scottish Borders, known for its picturesque setting at the confluence of the Rivers Tweed and Teviot and the ruins of Kelso Abbey.
-
E.
Kelso
Kelso is a historic railroad town in California’s Mojave Desert that developed as a key service and supply point for trains and workers on the Union Pacific line.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8afa1a9b0819083a5a8f34c49d409 |
completed | April 22, 2026, 11:23 a.m. |
Created at: April 16, 2026, 5:07 p.m.