Triple
T8184294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Argentina |
E191143
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Venado Tuerto
Venado Tuerto is a significant agricultural and commercial city in the south of Santa Fe Province in central Argentina.
|
E716800
|
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: Venado Tuerto | Statement: [Central Argentina, hasMajorCity, Venado Tuerto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Venado Tuerto Context triple: [Central Argentina, hasMajorCity, Venado Tuerto]
-
A.
El Chacal
El Chacal is the ring nickname of Cuban boxer Guillermo Rigondeaux, a highly skilled two-time Olympic gold medalist and former world champion.
-
B.
Cutral Có
Cutral Có is a city in western Argentina known as an important oil and gas center within Neuquén Province.
-
C.
Vicuña Mackenna
Vicuña Mackenna is a mountain peak in Chile’s Atacama Desert, notable as one of the highest summits in the coastal mountain range.
-
D.
Vicuña Mackenna
Vicuña Mackenna is a Chilean surname most prominently associated with Benjamín Vicuña Mackenna, a 19th-century politician, historian, and intellectual.
-
E.
Comondú
Comondú is a municipality in the Mexican state of Baja California Sur, known for its agricultural valleys, coastal areas, and historic mission towns.
- 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: Venado Tuerto Triple: [Central Argentina, hasMajorCity, Venado Tuerto]
Generated description
Venado Tuerto is a significant agricultural and commercial city in the south of Santa Fe Province in central Argentina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Venado Tuerto Target entity description: Venado Tuerto is a significant agricultural and commercial city in the south of Santa Fe Province in central Argentina.
-
A.
El Chacal
El Chacal is the ring nickname of Cuban boxer Guillermo Rigondeaux, a highly skilled two-time Olympic gold medalist and former world champion.
-
B.
Cutral Có
Cutral Có is a city in western Argentina known as an important oil and gas center within Neuquén Province.
-
C.
Vicuña Mackenna
Vicuña Mackenna is a mountain peak in Chile’s Atacama Desert, notable as one of the highest summits in the coastal mountain range.
-
D.
Vicuña Mackenna
Vicuña Mackenna is a Chilean surname most prominently associated with Benjamín Vicuña Mackenna, a 19th-century politician, historian, and intellectual.
-
E.
Comondú
Comondú is a municipality in the Mexican state of Baja California Sur, known for its agricultural valleys, coastal areas, and historic mission towns.
- 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_69ca82c4538081909404325aa5639483 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c507f248190b599b4a629b7518a |
completed | March 31, 2026, 4:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf95fd5c81908391dc160723b9e9 |
completed | April 1, 2026, 6:47 a.m. |
| NEDg | Description generation | batch_69ccc315c73c81908ba65073c5eab6e1 |
completed | April 1, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccd87585148190a2d8b81ab352d123 |
completed | April 1, 2026, 8:33 a.m. |
Created at: March 30, 2026, 5:41 p.m.