Triple
T23555291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | microregion of Crateús |
E578171
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Ararendá
Ararendá is a municipality located in the state of Ceará in northeastern Brazil.
|
E1590209
|
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: Ararendá | Statement: [microregion of Crateús, hasMunicipality, Ararendá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ararendá Context triple: [microregion of Crateús, hasMunicipality, Ararendá]
-
A.
Hyra
Hyra is the surname of American actress and producer Meg Ryan, known for her roles in popular romantic comedies of the late 20th century.
-
B.
The Rental
The Rental is a 2020 horror-thriller film about two couples whose weekend getaway at a vacation rental turns sinister, marking the feature directorial debut of Dave Franco.
-
C.
Rielasingen
Rielasingen is a locality within the municipality of Rielasingen-Worblingen in the district of Konstanz in Baden-Württemberg, Germany.
-
D.
Najem
Najem is a given name and surname of Arabic origin, commonly used in various Middle Eastern and Muslim communities.
-
E.
The Renter
The Renter is a mysterious, reclusive tenant in Jonathan Safran Foer’s novel "Extremely Loud & Incredibly Close," whose silent presence and hidden past play a key role in the emotional journey of the protagonist.
- 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: Ararendá Triple: [microregion of Crateús, hasMunicipality, Ararendá]
Generated description
Ararendá is a municipality located in the state of Ceará in northeastern Brazil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ararendá Target entity description: Ararendá is a municipality located in the state of Ceará in northeastern Brazil.
-
A.
Hyra
Hyra is the surname of American actress and producer Meg Ryan, known for her roles in popular romantic comedies of the late 20th century.
-
B.
The Rental
The Rental is a 2020 horror-thriller film about two couples whose weekend getaway at a vacation rental turns sinister, marking the feature directorial debut of Dave Franco.
-
C.
Rielasingen
Rielasingen is a locality within the municipality of Rielasingen-Worblingen in the district of Konstanz in Baden-Württemberg, Germany.
-
D.
Najem
Najem is a given name and surname of Arabic origin, commonly used in various Middle Eastern and Muslim communities.
-
E.
The Renter
The Renter is a mysterious, reclusive tenant in Jonathan Safran Foer’s novel "Extremely Loud & Incredibly Close," whose silent presence and hidden past play a key role in the emotional journey of the protagonist.
- 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aed253788190ba75109af0e91b37 |
completed | April 29, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0cdf67efbc8190a75c1d6cb9bd63f9 |
completed | May 19, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_6a0ce12579188190befd636d3714675a |
completed | May 19, 2026, 10:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ce187efa48190876f67fef4873af2 |
completed | May 19, 2026, 10:17 p.m. |
Created at: April 17, 2026, 6:12 p.m.