Triple
T8750775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Iowa |
E207951
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Colo
Colo is a small city located in central Iowa, United States.
|
E755224
|
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: Colo | Statement: [Central Iowa, hasCity, Colo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colo Context triple: [Central Iowa, hasCity, Colo]
-
A.
Keystone, Colorado
Keystone, Colorado is a mountain community in Summit County known primarily as the base village and service hub for the nearby Keystone Resort ski area.
-
B.
Columbia City
Columbia City is a historic, culturally diverse neighborhood in southeast Seattle known for its vibrant business district, arts scene, and early 20th-century architecture.
-
C.
Englewood
Englewood is a neighborhood on the South Side of Chicago, Illinois, historically known for its commercial hub and later for significant economic and social challenges.
-
D.
San Luis, Colorado
San Luis, Colorado is a small historic town in southern Colorado recognized as the state's oldest continuously inhabited community.
-
E.
Denver
Denver is a small village and civil parish in Norfolk, England, known for its historic drainage works and rural setting near the town of Downham Market.
- 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: Colo Triple: [Central Iowa, hasCity, Colo]
Generated description
Colo is a small city located in central Iowa, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Colo Target entity description: Colo is a small city located in central Iowa, United States.
-
A.
Keystone, Colorado
Keystone, Colorado is a mountain community in Summit County known primarily as the base village and service hub for the nearby Keystone Resort ski area.
-
B.
Columbia City
Columbia City is a historic, culturally diverse neighborhood in southeast Seattle known for its vibrant business district, arts scene, and early 20th-century architecture.
-
C.
Englewood
Englewood is a neighborhood on the South Side of Chicago, Illinois, historically known for its commercial hub and later for significant economic and social challenges.
-
D.
San Luis, Colorado
San Luis, Colorado is a small historic town in southern Colorado recognized as the state's oldest continuously inhabited community.
-
E.
Denver
Denver is a small village and civil parish in Norfolk, England, known for its historic drainage works and rural setting near the town of Downham Market.
- 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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5da774f4819099e5bfd12973d946 |
completed | March 31, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf431db5a88190a579b43370a8e887 |
completed | April 3, 2026, 4:33 a.m. |
| NEDg | Description generation | batch_69cf45ff020c81909bfe20de50d3661a |
completed | April 3, 2026, 4:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf46ab85088190b12e6eb969f2c65b |
completed | April 3, 2026, 4:48 a.m. |
Created at: March 30, 2026, 6:39 p.m.