Triple
T9756738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbia Heights, Minnesota |
E236571
|
entity |
| Predicate | namedFor |
P63
|
FINISHED |
| Object |
Columbia
Columbia is a historic poetic name for the United States, often used as a national personification in literature, art, and place names.
|
E116697
|
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: Columbia | Statement: [Columbia Heights, Minnesota, namedFor, Columbia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Columbia Context triple: [Columbia Heights, Minnesota, namedFor, Columbia]
-
A.
Columbia
Columbia is a small unincorporated community located in the state of Iowa in the United States.
-
B.
Columbia
Columbia was the former name of the John F. Kennedy/University of Massachusetts Boston subway station on Boston’s MBTA Red Line.
-
C.
Columbia
Columbia is an outdoor apparel and footwear brand known for its durable, weather-resistant gear for activities like hiking, skiing, and camping.
-
D.
Columbia
Columbia was NASA’s first operational Space Shuttle orbiter, notable for pioneering reusable spacecraft missions and tragically being lost in the 2003 reentry disaster.
-
E.
Columbia
Columbia is a mid-sized city in central Missouri known as a major college town and cultural hub, home to the University of Missouri and several other educational institutions.
- 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: Columbia Triple: [Columbia Heights, Minnesota, namedFor, Columbia]
Generated description
Columbia is a historic poetic name for the United States, often used as a national personification in literature, art, and place names.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Columbia Target entity description: Columbia is a historic poetic name for the United States, often used as a national personification in literature, art, and place names.
-
A.
Columbia
chosen
Columbia is a historical and poetic personification of the United States, often used as a national symbol in literature, art, and place names.
-
B.
Columbia
Columbia is a fictional sentient spaceship, also known as Nuna, featured in science fiction storytelling.
-
C.
Columbia
Columbia was the former name of the John F. Kennedy/University of Massachusetts Boston subway station on Boston’s MBTA Red Line.
-
D.
Columbia
Columbia is a mid-sized city in central Missouri known as a major college town and cultural hub, home to the University of Missouri and several other educational institutions.
-
E.
Columbia
Columbia is a large planned community in central Maryland known for its suburban neighborhoods, extensive green spaces, and mixed-use town centers.
- F. None of above.
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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9fb2889481908fba4a449d5007fe |
completed | April 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcdbdbcc8190b2c454729a50f7fb |
completed | April 5, 2026, 1:37 a.m. |
| NEDg | Description generation | batch_69d1be0b960c8190a3c24c8c80cfbe9d |
completed | April 5, 2026, 1:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1bec20dec8190be32069ddf94b915 |
completed | April 5, 2026, 1:45 a.m. |
Created at: March 30, 2026, 8:24 p.m.