Triple
T9309400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of A Coruña |
E223969
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ames
Ames is a municipality in the autonomous community of Galicia in northwestern Spain, situated near the city of Santiago de Compostela.
|
E791596
|
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: Ames | Statement: [Province of A Coruña, contains, Ames]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ames Context triple: [Province of A Coruña, contains, Ames]
-
A.
Ames
Ames is a surname of English origin borne by various notable individuals across fields such as science, politics, and the arts.
-
B.
Ames, Iowa
Ames, Iowa is a central Iowa city best known as the home of Iowa State University and a major hub for education, research, and agriculture.
-
C.
Ames, Nebraska
Ames, Nebraska is a small rural village located in Dodge County in eastern Nebraska, United States.
-
D.
Davenport
Davenport is an English surname of Norman origin that has been borne by various notable figures in mathematics, politics, and the arts.
-
E.
Davenport
Davenport is a historic community in Toronto, Ontario, known for its early settlement along Davenport Road and its role in the city’s industrial and residential development.
- 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: Ames Triple: [Province of A Coruña, contains, Ames]
Generated description
Ames is a municipality in the autonomous community of Galicia in northwestern Spain, situated near the city of Santiago de Compostela.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ames Target entity description: Ames is a municipality in the autonomous community of Galicia in northwestern Spain, situated near the city of Santiago de Compostela.
-
A.
Ames
Ames is a surname of English origin borne by various notable individuals across fields such as science, politics, and the arts.
-
B.
Ames, Iowa
Ames, Iowa is a central Iowa city best known as the home of Iowa State University and a major hub for education, research, and agriculture.
-
C.
Ames, Nebraska
Ames, Nebraska is a small rural village located in Dodge County in eastern Nebraska, United States.
-
D.
Davenport
Davenport is an English surname of Norman origin that has been borne by various notable figures in mathematics, politics, and the arts.
-
E.
Davenport
Davenport is a historic community in Toronto, Ontario, known for its early settlement along Davenport Road and its role in the city’s industrial and residential development.
- 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_69ca8424d0f08190831e2e93c6533aeb |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd1daba67c819081d53545d67ef127 |
completed | April 1, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c78dfd80819099ab75df01016319 |
completed | April 4, 2026, 8:10 a.m. |
| NEDg | Description generation | batch_69d0cbb518708190a896b0bf1fb7c9c7 |
completed | April 4, 2026, 8:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0cc49215c8190894fe206d0230134 |
completed | April 4, 2026, 8:31 a.m. |
Created at: March 30, 2026, 7:37 p.m.