Triple
T1298818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montrose Beach |
E27714
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Montrose
Montrose is a city in western Colorado known for its access to outdoor recreation, including nearby national parks and scenic mountain landscapes.
|
E161807
|
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: Montrose | Statement: [Montrose Beach, locatedIn, Montrose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montrose Context triple: [Montrose Beach, locatedIn, Montrose]
-
A.
Montrose
Montrose is a coastal town in eastern Scotland known for its historic harbor, sandy beach, and surrounding nature reserves.
-
B.
Park Hill
Park Hill is a historic residential neighborhood in southwest Yonkers, New York, known for its early 20th-century architecture and hillside views of the Hudson River.
-
C.
Elgin
Elgin is a historic town in Moray, northeast Scotland, known for its medieval cathedral ruins and regional administrative and legal significance.
-
D.
Toa Alta
Toa Alta is a municipality in northern Puerto Rico known for its suburban communities and integration into the greater San Juan metropolitan region.
-
E.
Colma
Colma is a small town in San Mateo County, California, best known for its numerous cemeteries and nickname as the "City of Souls."
- 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: Montrose Triple: [Montrose Beach, locatedIn, Montrose]
Generated description
Montrose is a city in western Colorado known for its access to outdoor recreation, including nearby national parks and scenic mountain landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Montrose Target entity description: Montrose is a city in western Colorado known for its access to outdoor recreation, including nearby national parks and scenic mountain landscapes.
-
A.
Montrose
Montrose is a coastal town in eastern Scotland known for its historic harbor, sandy beach, and surrounding nature reserves.
-
B.
Park Hill
Park Hill is a historic residential neighborhood in southwest Yonkers, New York, known for its early 20th-century architecture and hillside views of the Hudson River.
-
C.
Elgin
Elgin is a historic town in Moray, northeast Scotland, known for its medieval cathedral ruins and regional administrative and legal significance.
-
D.
Toa Alta
Toa Alta is a municipality in northern Puerto Rico known for its suburban communities and integration into the greater San Juan metropolitan region.
-
E.
Colma
Colma is a small town in San Mateo County, California, best known for its numerous cemeteries and nickname as the "City of Souls."
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c111a76c81909e6b914694986251 |
completed | March 1, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace55f2c288190b8315794b11a7e65 |
completed | March 8, 2026, 2:56 a.m. |
| NEDg | Description generation | batch_69ace61b0ba08190930f9e21d28b4449 |
completed | March 8, 2026, 2:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ace6b543ec819080a5ddeed0273644 |
completed | March 8, 2026, 3:02 a.m. |
Created at: March 1, 2026, 7:51 p.m.