Triple
T9158749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clovis culture |
E219768
|
entity |
| Predicate | archaeologicalSite |
P1098
|
FINISHED |
| Object |
Dent site
Dent site is a significant Paleoindian archaeological location in Colorado known for yielding Clovis culture artifacts and mammoth remains.
|
E782772
|
NE FINISHED |
How this triple was built (4 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: Dent site | Statement: [Clovis culture, archaeologicalSite, Dent site]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dent site Context triple: [Clovis culture, archaeologicalSite, Dent site]
-
A.
Dent
Dent is a surname most prominently associated with Richard Dent, a Hall of Fame former NFL defensive end for the Chicago Bears.
-
B.
Muldental
Muldental is the valley region surrounding the Mulde River in Germany, known for its scenic landscapes and small towns.
-
C.
Odontography
Odontography is a seminal 19th-century scientific work by Richard Owen that systematically studies and classifies the teeth of vertebrates.
-
D.
Zahniser
Zahniser is a surname most notably associated with Howard Zahniser, the American environmentalist and principal author of the U.S. Wilderness Act.
-
E.
Dent Blanche
Dent Blanche is a prominent, pyramid-shaped mountain in the Swiss Pennine Alps, renowned for its striking appearance and challenging alpine climbs.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Dent site Triple: [Clovis culture, archaeologicalSite, Dent site]
Generated description
Dent site is a significant Paleoindian archaeological location in Colorado known for yielding Clovis culture artifacts and mammoth remains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dent site Target entity description: Dent site is a significant Paleoindian archaeological location in Colorado known for yielding Clovis culture artifacts and mammoth remains.
-
A.
Dent
Dent is a surname most prominently associated with Richard Dent, a Hall of Fame former NFL defensive end for the Chicago Bears.
-
B.
Muldental
Muldental is the valley region surrounding the Mulde River in Germany, known for its scenic landscapes and small towns.
-
C.
Odontography
Odontography is a seminal 19th-century scientific work by Richard Owen that systematically studies and classifies the teeth of vertebrates.
-
D.
Zahniser
Zahniser is a surname most notably associated with Howard Zahniser, the American environmentalist and principal author of the U.S. Wilderness Act.
-
E.
Dent Blanche
Dent Blanche is a prominent, pyramid-shaped mountain in the Swiss Pennine Alps, renowned for its striking appearance and challenging alpine climbs.
- F. None of above. chosen
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_69ca83e25418819093c6503deeaf30de |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca9d805588190a0deadda1dd410a1 |
completed | April 1, 2026, 5:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05468843481908a1f17219a1bfc79 |
completed | April 3, 2026, 11:59 p.m. |
| NEDg | Description generation | batch_69d0554fda40819083ef2d13d6fba905 |
completed | April 4, 2026, 12:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d055ca4fc08190b30e1b31ded51189 |
completed | April 4, 2026, 12:05 a.m. |
Created at: March 30, 2026, 7:21 p.m.