Triple
T7505762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duitama |
E177382
|
entity |
| Predicate | demonym |
P191
|
FINISHED |
| Object |
Duitamense
Duitamense refers to a person from Duitama, a city in the Boyacá Department of Colombia.
|
E669293
|
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: Duitamense | Statement: [Duitama, demonym, Duitamense]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duitamense Context triple: [Duitama, demonym, Duitamense]
-
A.
Frans
Frans is a common Dutch given name, notably borne by politician Frans Timmermans, a prominent European Union figure and former European Commission executive vice president.
-
B.
Svealander
A Svealander is a person from Svealand, the central historical region of Sweden that includes the capital city, Stockholm.
-
C.
Nederlander
Nederlander is a prominent American theatrical family name best known for its multigenerational ownership and operation of major Broadway and live-entertainment venues.
-
D.
Gelderlander
Gelderlander is a regional Dutch newspaper based in the province of Gelderland.
-
E.
Neder-Betuwe
Neder-Betuwe is a municipality in the Dutch province of Gelderland, known for its rural landscape, fruit cultivation, and location along the rivers Waal and Rhine.
- 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: Duitamense Triple: [Duitama, demonym, Duitamense]
Generated description
Duitamense refers to a person from Duitama, a city in the Boyacá Department of Colombia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Duitamense Target entity description: Duitamense refers to a person from Duitama, a city in the Boyacá Department of Colombia.
-
A.
Frans
Frans is a common Dutch given name, notably borne by politician Frans Timmermans, a prominent European Union figure and former European Commission executive vice president.
-
B.
Svealander
A Svealander is a person from Svealand, the central historical region of Sweden that includes the capital city, Stockholm.
-
C.
Nederlander
Nederlander is a prominent American theatrical family name best known for its multigenerational ownership and operation of major Broadway and live-entertainment venues.
-
D.
Gelderlander
Gelderlander is a regional Dutch newspaper based in the province of Gelderland.
-
E.
Neder-Betuwe
Neder-Betuwe is a municipality in the Dutch province of Gelderland, known for its rural landscape, fruit cultivation, and location along the rivers Waal and Rhine.
- 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_69c69f276b108190af2cc790b6554544 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5b5fcd88190ab4ab0ba96a6aa4b |
completed | March 27, 2026, 9:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c9dcc2881908eea4efe075e894d |
completed | March 28, 2026, 8:39 p.m. |
| NEDg | Description generation | batch_69c83e7b2ab08190a5ecb9b87af067a5 |
completed | March 28, 2026, 8:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c842bad1e8819093bf61d9480dbd22 |
completed | March 28, 2026, 9:06 p.m. |
Created at: March 27, 2026, 3:44 p.m.