Triple
T2878561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fountain Creek |
E56938
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Pueblo
Pueblo is a city in southern Colorado known for its steel industry heritage, location along the Arkansas River, and diverse cultural history.
|
E310991
|
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: Pueblo | Statement: [Fountain Creek, flowsThrough, Pueblo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pueblo Context triple: [Fountain Creek, flowsThrough, Pueblo]
-
A.
Pecos
Pecos is a historic village in northern New Mexico known for its rich Indigenous and Spanish colonial heritage, nearby ancient pueblo ruins, and scenic location along the Pecos River.
-
B.
San Luis
San Luis is a residential and commercial district located in the eastern part of Lima, Peru.
-
C.
San Luis
San Luis is a municipality and town in western Cuba known for its agricultural activities within Pinar del Río Province.
-
D.
Durango
Durango is a state in north-central Mexico known for its rugged mountainous terrain, significant mining history, and role as a setting for classic Western films.
-
E.
Durango
Durango is a historic mountain town in southwestern Colorado known for its scenic landscapes, outdoor recreation, and the Durango & Silverton Narrow Gauge Railroad.
- 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: Pueblo Triple: [Fountain Creek, flowsThrough, Pueblo]
Generated description
Pueblo is a city in southern Colorado known for its steel industry heritage, location along the Arkansas River, and diverse cultural history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pueblo Target entity description: Pueblo is a city in southern Colorado known for its steel industry heritage, location along the Arkansas River, and diverse cultural history.
-
A.
Pecos
Pecos is a historic village in northern New Mexico known for its rich Indigenous and Spanish colonial heritage, nearby ancient pueblo ruins, and scenic location along the Pecos River.
-
B.
San Luis
San Luis is a residential and commercial district located in the eastern part of Lima, Peru.
-
C.
San Luis
San Luis is a municipality and town in western Cuba known for its agricultural activities within Pinar del Río Province.
-
D.
Durango
Durango is a state in north-central Mexico known for its rugged mountainous terrain, significant mining history, and role as a setting for classic Western films.
-
E.
Durango
Durango is a historic mountain town in southwestern Colorado known for its scenic landscapes, outdoor recreation, and the Durango & Silverton Narrow Gauge Railroad.
- 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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abe008925c81909683d0ebc6227e5e |
completed | March 7, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b08648923c8190bd544177b825a494 |
completed | March 10, 2026, 8:59 p.m. |
| NEDg | Description generation | batch_69b0b3763b8481909483bbaab1af5d69 |
completed | March 11, 2026, 12:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0b40e41e08190afb710c400765d01 |
completed | March 11, 2026, 12:15 a.m. |
Created at: March 6, 2026, 10:03 p.m.