Triple
T15554677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goiás |
E370836
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Itumbiara |
E566495
|
NE FINISHED |
How this triple was built (2 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: Itumbiara | Statement: [Goiás, hasCity, Itumbiara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Itumbiara Context triple: [Goiás, hasCity, Itumbiara]
-
A.
Itumbiara
chosen
Itumbiara is a municipality in the Brazilian state of Goiás, known for its strategic location on the Paranaíba River and its role as a regional economic and transportation hub.
-
B.
Banjima
Banjima is an Aboriginal Australian people traditionally associated with the Pilbara region of Western Australia, known for their distinct language and cultural heritage.
-
C.
Chambeali
Chambeali is an Indo-Aryan language spoken primarily in the Chamba region of Himachal Pradesh in northern India.
-
D.
Negombo
Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
-
E.
Mueda
Mueda is a town in northern Mozambique known as a historical center of Makonde culture and the site of the pivotal 1960 Mueda massacre that helped spark the Mozambican independence struggle.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a96c0c88190808f68601a36b506 |
completed | April 16, 2026, 2:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c3e67c881909a9fa1e483a364be |
completed | May 9, 2026, 3:01 p.m. |
Created at: April 10, 2026, 4:09 a.m.