Triple
T5814189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodyear, Arizona |
E128942
|
entity |
| Predicate | hasNeighborhood |
P40
|
FINISHED |
| Object |
Estrella
Estrella is a master-planned residential community in Goodyear, Arizona, known for its scenic desert setting, lakes, and family-oriented amenities.
|
E549086
|
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: Estrella | Statement: [Goodyear, Arizona, hasNeighborhood, Estrella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Estrella Context triple: [Goodyear, Arizona, hasNeighborhood, Estrella]
-
A.
Estrela
Estrela is a historic and picturesque neighborhood in Lisbon, Portugal, known for its basilica, gardens, and traditional tram routes.
-
B.
La Estrella
La Estrella is a small locality in Chile’s Cardenal Caro Province, within the O'Higgins Region.
-
C.
Stello
Stello is the surname of Dick Stello, a former Major League Baseball umpire known for his work in the National League.
-
D.
Estrela Solitária
Estrela Solitária is the famous nickname of Brazilian football club Botafogo de Futebol e Regatas, referencing its iconic lone star emblem.
-
E.
Doña Sol
Doña Sol is a seductive and aristocratic woman who becomes the torero’s dangerous love interest in the 1922 silent film "Blood and Sand."
- 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: Estrella Triple: [Goodyear, Arizona, hasNeighborhood, Estrella]
Generated description
Estrella is a master-planned residential community in Goodyear, Arizona, known for its scenic desert setting, lakes, and family-oriented amenities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Estrella Target entity description: Estrella is a master-planned residential community in Goodyear, Arizona, known for its scenic desert setting, lakes, and family-oriented amenities.
-
A.
Estrela
Estrela is a historic and picturesque neighborhood in Lisbon, Portugal, known for its basilica, gardens, and traditional tram routes.
-
B.
La Estrella
La Estrella is a small locality in Chile’s Cardenal Caro Province, within the O'Higgins Region.
-
C.
Stello
Stello is the surname of Dick Stello, a former Major League Baseball umpire known for his work in the National League.
-
D.
Estrela Solitária
Estrela Solitária is the famous nickname of Brazilian football club Botafogo de Futebol e Regatas, referencing its iconic lone star emblem.
-
E.
Doña Sol
Doña Sol is a seductive and aristocratic woman who becomes the torero’s dangerous love interest in the 1922 silent film "Blood and Sand."
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03361c79081908baf872821e79983 |
completed | March 22, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0984c5f14819096dfabce4a83e332 |
completed | March 23, 2026, 1:33 a.m. |
| NEDg | Description generation | batch_69c098d889e08190adbd12504a7f3fa1 |
completed | March 23, 2026, 1:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c09990da18819099fdc8f25f2ddef2 |
completed | March 23, 2026, 1:38 a.m. |
Created at: March 22, 2026, 3:52 p.m.