Triple
T25394908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medora, North Dakota |
E636264
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object |
Pitchfork Steak Fondue
Pitchfork Steak Fondue is a popular Western-style outdoor dining experience near Medora, North Dakota, where steaks are cooked on pitchforks in large vats of hot oil and served with views of the Badlands.
|
E1677542
|
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: Pitchfork Steak Fondue | Statement: [Medora, North Dakota, hasAttraction, Pitchfork Steak Fondue]
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: Pitchfork Steak Fondue Triple: [Medora, North Dakota, hasAttraction, Pitchfork Steak Fondue]
Generated description
Pitchfork Steak Fondue is a popular Western-style outdoor dining experience near Medora, North Dakota, where steaks are cooked on pitchforks in large vats of hot oil and served with views of the Badlands.
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_69e75db263888190b77fff9e2827b9a2 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5657379208190bd1ca0607af3e6c5 |
completed | May 2, 2026, 2:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a107616fc24819097d820896841a3ae |
completed | May 22, 2026, 3:28 p.m. |
| NEDg | Description generation | batch_6a107704fc988190ad63a0cf42ab9278 |
completed | May 22, 2026, 3:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a107788b7b88190862dc72173b63531 |
completed | May 22, 2026, 3:34 p.m. |
Created at: April 21, 2026, 1:49 p.m.