Triple
T1326494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paraguay |
E28339
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
Tetã Paraguái
Tetã Paraguái is the Guaraní-language name for the South American country of Paraguay.
|
E151990
|
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: Tetã Paraguái | Statement: [Paraguay, nativeName, Tetã Paraguái]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tetã Paraguái Context triple: [Paraguay, nativeName, Tetã Paraguái]
-
A.
Xanana
Xanana is the widely used nickname of Xanana Gusmão, the former resistance leader and first president of an independent Timor-Leste.
-
B.
Chuncho
"Chuncho" is a musical piece featured on the album *Inca Taqui*, known for its incorporation of traditional Andean sounds and themes.
-
C.
Pachacámac
Pachacámac is a district in the Lima Province of Peru, known for its important pre-Columbian archaeological site and temples dedicated to the deity Pachacámac.
-
D.
Echeverría
Echeverría is a Spanish-language surname borne by various notable figures in politics, literature, and the arts across the Spanish-speaking world.
-
E.
Jaruco
Jaruco is a municipality in western Cuba known for its historic town and the nearby Jaruco Escalante hills and parklands.
- 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: Tetã Paraguái Triple: [Paraguay, nativeName, Tetã Paraguái]
Generated description
Tetã Paraguái is the Guaraní-language name for the South American country of Paraguay.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tetã Paraguái Target entity description: Tetã Paraguái is the Guaraní-language name for the South American country of Paraguay.
-
A.
Xanana
Xanana is the widely used nickname of Xanana Gusmão, the former resistance leader and first president of an independent Timor-Leste.
-
B.
Chuncho
"Chuncho" is a musical piece featured on the album *Inca Taqui*, known for its incorporation of traditional Andean sounds and themes.
-
C.
Pachacámac
Pachacámac is a district in the Lima Province of Peru, known for its important pre-Columbian archaeological site and temples dedicated to the deity Pachacámac.
-
D.
Echeverría
Echeverría is a Spanish-language surname borne by various notable figures in politics, literature, and the arts across the Spanish-speaking world.
-
E.
Jaruco
Jaruco is a municipality in western Cuba known for its historic town and the nearby Jaruco Escalante hills and parklands.
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1c0a22881909eff0fc6c91a5f41 |
completed | March 1, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf3038148190bd945f67e1a619ca |
completed | March 8, 2026, 12:13 a.m. |
| NEDg | Description generation | batch_69acbf958b308190874369550420f827 |
completed | March 8, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc0c32180819082af905fd56c4b27 |
completed | March 8, 2026, 12:20 a.m. |
Created at: March 1, 2026, 7:55 p.m.