Triple
T22990340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cariri region of Ceará |
E572028
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Cedro
Cedro is a municipality in the Cariri region of the Brazilian state of Ceará, known for its semi-arid landscape and regional agricultural activities.
|
E1565130
|
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: Cedro | Statement: [Cariri region of Ceará, hasCity, Cedro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cedro Context triple: [Cariri region of Ceará, hasCity, Cedro]
-
A.
Cedros
Cedros is a municipality located in the Francisco Morazán Department of central Honduras.
-
B.
Cedros
Cedros is a civil parish on Faial Island in Portugal’s Azores archipelago, known for its rural landscape and traditional Azorean character.
-
C.
Ceboruco
Ceboruco is an active stratovolcano in western Mexico known for its historical eruptions and location within the country’s main volcanic arc.
-
D.
Guadalupe cypress
Guadalupe cypress is a rare conifer tree species endemic to Mexico’s Guadalupe Island, known for forming distinctive high-elevation forests and for its conservation importance.
-
E.
Algarrobo
Algarrobo is a coastal resort town in central Chile known for its beaches and large vacation developments along the Pacific Ocean.
- 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: Cedro Triple: [Cariri region of Ceará, hasCity, Cedro]
Generated description
Cedro is a municipality in the Cariri region of the Brazilian state of Ceará, known for its semi-arid landscape and regional agricultural activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cedro Target entity description: Cedro is a municipality in the Cariri region of the Brazilian state of Ceará, known for its semi-arid landscape and regional agricultural activities.
-
A.
Cedros
Cedros is a civil parish on Faial Island in Portugal’s Azores archipelago, known for its rural landscape and traditional Azorean character.
-
B.
Cedros
Cedros is a municipality located in the Francisco Morazán Department of central Honduras.
-
C.
Ceboruco
Ceboruco is an active stratovolcano in western Mexico known for its historical eruptions and location within the country’s main volcanic arc.
-
D.
Guadalupe cypress
Guadalupe cypress is a rare conifer tree species endemic to Mexico’s Guadalupe Island, known for forming distinctive high-elevation forests and for its conservation importance.
-
E.
Algarrobo
Algarrobo is a coastal resort town in central Chile known for its beaches and large vacation developments along the Pacific Ocean.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182ee3afc819099fbc6bef0b83bd5 |
completed | April 29, 2026, 4:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bd3792ad0819094416aebc79ab1f7 |
completed | May 19, 2026, 3:05 a.m. |
| NEDg | Description generation | batch_6a0bd40988808190add22943683b7a1b |
completed | May 19, 2026, 3:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bd503b1588190979b9895327a3475 |
completed | May 19, 2026, 3:12 a.m. |
Created at: April 17, 2026, 3:50 p.m.