Triple
T1170087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pernambuco |
E24892
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Garanhuns
Garanhuns is a city in northeastern Brazil known for its mild climate, hilly terrain, and popular winter music festival.
|
E154541
|
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: Garanhuns | Statement: [Pernambuco, hasCity, Garanhuns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garanhuns Context triple: [Pernambuco, hasCity, Garanhuns]
-
A.
Urunga
Urunga is a small coastal town in New South Wales, Australia, known for its scenic boardwalks, estuary views, and relaxed seaside atmosphere.
-
B.
Garoua
Garoua is a major city in northern Cameroon that serves as an important commercial and administrative center and a key hub for river and overland transport in the region.
-
C.
Guttera
Guttera is a genus of guineafowl known for its distinctive crested head and spotted plumage, native to sub-Saharan Africa.
-
D.
Wargandí
Wargandí is an indigenous comarca (autonomous territory) in eastern Panama inhabited primarily by the Guna (Kuna) people.
-
E.
Andalgalá
Andalgalá is a town in northwestern Argentina known for its mining activities and scenic location in the foothills of the Andes within Catamarca Province.
- 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: Garanhuns Triple: [Pernambuco, hasCity, Garanhuns]
Generated description
Garanhuns is a city in northeastern Brazil known for its mild climate, hilly terrain, and popular winter music festival.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Garanhuns Target entity description: Garanhuns is a city in northeastern Brazil known for its mild climate, hilly terrain, and popular winter music festival.
-
A.
Urunga
Urunga is a small coastal town in New South Wales, Australia, known for its scenic boardwalks, estuary views, and relaxed seaside atmosphere.
-
B.
Garoua
Garoua is a major city in northern Cameroon that serves as an important commercial and administrative center and a key hub for river and overland transport in the region.
-
C.
Guttera
Guttera is a genus of guineafowl known for its distinctive crested head and spotted plumage, native to sub-Saharan Africa.
-
D.
Wargandí
Wargandí is an indigenous comarca (autonomous territory) in eastern Panama inhabited primarily by the Guna (Kuna) people.
-
E.
Andalgalá
Andalgalá is a town in northwestern Argentina known for its mining activities and scenic location in the foothills of the Andes within Catamarca Province.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bce972cc8190bce0b77cfda6da41 |
completed | March 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acc61497948190891228f1a623668e |
completed | March 8, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69acc7fd0e2081908a75d58c68c51e28 |
completed | March 8, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc8c9b03c819093ba0cd4deb2aa48 |
completed | March 8, 2026, 12:54 a.m. |
Created at: March 1, 2026, 7:45 p.m.