Triple
T26514953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cripple Creek gold rush |
E669787
|
entity |
| Predicate | transportInfrastructure |
P1777
|
FINISHED |
| Object |
Midland Terminal Railway
The Midland Terminal Railway was a historic Colorado railroad that played a key role in hauling ore and passengers to and from the Cripple Creek gold mining district in the late 19th and early 20th centuries.
|
E1727696
|
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: Midland Terminal Railway | Statement: [Cripple Creek gold rush, transportInfrastructure, Midland Terminal Railway]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Midland Terminal Railway Triple: [Cripple Creek gold rush, transportInfrastructure, Midland Terminal Railway]
Generated description
The Midland Terminal Railway was a historic Colorado railroad that played a key role in hauling ore and passengers to and from the Cripple Creek gold mining district in the late 19th and early 20th centuries.
Provenance (5 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_69eeb31b6dcc8190b30632dc3928a0c0 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f613bc641c819084343cc78d080640 |
completed | May 2, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11bb3f7b908190a6d763a270f929f6 |
completed | May 23, 2026, 2:35 p.m. |
| NEDg | Description generation | batch_6a11be61ba0c8190b932a96eda11e624 |
completed | May 23, 2026, 2:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a11bf3635308190aad4d7a3f35b81df |
completed | May 23, 2026, 2:52 p.m. |
Created at: April 27, 2026, 1:23 a.m.