Triple
T1169973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Recife |
E24891
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Arruda
Arruda is a neighborhood in Recife, Brazil, best known for housing the Estádio do Arruda, home stadium of the Santa Cruz Futebol Clube.
|
E132986
|
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: Arruda | Statement: [Recife, hasPart, Arruda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arruda Context triple: [Recife, hasPart, Arruda]
-
A.
Sabrosa
Sabrosa is a small municipality in Portugal’s Douro region, historically notable as the birthplace of explorer Ferdinand Magellan.
-
B.
Santervás de Campos
Santervás de Campos is a small municipality in the province of Valladolid, Spain, best known as the birthplace of the explorer Juan Ponce de León.
-
C.
Estremoz
Estremoz is a historic town and municipality in Portugal’s Alentejo region, known for its marble quarries, medieval castle, and well-preserved old quarter.
-
D.
Alcoutim
Alcoutim is a small riverside municipality in Portugal’s Algarve region, known for its quiet historic village overlooking the Guadiana River on the Spanish border.
-
E.
Alvescot
Alvescot is a small rural village in Oxfordshire, England, known for its traditional stone cottages and historic parish church.
- 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: Arruda Triple: [Recife, hasPart, Arruda]
Generated description
Arruda is a neighborhood in Recife, Brazil, best known for housing the Estádio do Arruda, home stadium of the Santa Cruz Futebol Clube.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arruda Target entity description: Arruda is a neighborhood in Recife, Brazil, best known for housing the Estádio do Arruda, home stadium of the Santa Cruz Futebol Clube.
-
A.
Sabrosa
Sabrosa is a small municipality in Portugal’s Douro region, historically notable as the birthplace of explorer Ferdinand Magellan.
-
B.
Santervás de Campos
Santervás de Campos is a small municipality in the province of Valladolid, Spain, best known as the birthplace of the explorer Juan Ponce de León.
-
C.
Estremoz
Estremoz is a historic town and municipality in Portugal’s Alentejo region, known for its marble quarries, medieval castle, and well-preserved old quarter.
-
D.
Alcoutim
Alcoutim is a small riverside municipality in Portugal’s Algarve region, known for its quiet historic village overlooking the Guadiana River on the Spanish border.
-
E.
Alvescot
Alvescot is a small rural village in Oxfordshire, England, known for its traditional stone cottages and historic parish church.
- 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_69a4bce821b481908bc278a3fa7973f4 |
completed | March 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac66879aec819098293c440a0e09a6 |
completed | March 7, 2026, 5:55 p.m. |
| NEDg | Description generation | batch_69ac66fd58308190bb4cb09581d4a8de |
completed | March 7, 2026, 5:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac677e147081909d9f64884c443f82 |
completed | March 7, 2026, 5:59 p.m. |
Created at: March 1, 2026, 7:45 p.m.