Triple
T22288425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LFL |
E550924
|
entity |
| Predicate | team |
P3756
|
FINISHED |
| Object |
Miami Caliente
Miami Caliente was a women's American football team based in Miami that competed in the Lingerie Football League (LFL).
|
E1528460
|
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: Miami Caliente | Statement: [LFL, team, Miami Caliente]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miami Caliente Context triple: [LFL, team, Miami Caliente]
-
A.
Ventanarosa
Ventanarosa is a film and television production company founded by Salma Hayek, known for producing culturally rich, often Latinx-focused projects.
-
B.
Hato Abajo
Hato Abajo is a barrio (district) of the municipality of Arecibo on the northern coast of Puerto Rico.
-
C.
Anta Gorda
Anta Gorda is a municipality in the state of Rio Grande do Sul in southern Brazil, located within the Vale do Taquari region.
-
D.
Loíza
Loíza is a coastal municipality in Puerto Rico known for its rich Afro-Puerto Rican culture, traditional Bomba music and dance, and vibrant religious and folk festivals.
-
E.
Naranjo
Naranjo was a major ancient Maya city-state in present-day Guatemala, known for its powerful dynasty, extensive hieroglyphic inscriptions, and frequent warfare with neighboring polities.
- 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: Miami Caliente Triple: [LFL, team, Miami Caliente]
Generated description
Miami Caliente was a women's American football team based in Miami that competed in the Lingerie Football League (LFL).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Miami Caliente Target entity description: Miami Caliente was a women's American football team based in Miami that competed in the Lingerie Football League (LFL).
-
A.
Ventanarosa
Ventanarosa is a film and television production company founded by Salma Hayek, known for producing culturally rich, often Latinx-focused projects.
-
B.
Hato Abajo
Hato Abajo is a barrio (district) of the municipality of Arecibo on the northern coast of Puerto Rico.
-
C.
Anta Gorda
Anta Gorda is a municipality in the state of Rio Grande do Sul in southern Brazil, located within the Vale do Taquari region.
-
D.
Loíza
Loíza is a coastal municipality in Puerto Rico known for its rich Afro-Puerto Rican culture, traditional Bomba music and dance, and vibrant religious and folk festivals.
-
E.
Naranjo
Naranjo was a major ancient Maya city-state in present-day Guatemala, known for its powerful dynasty, extensive hieroglyphic inscriptions, and frequent warfare with neighboring polities.
- 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15609854c81908adb7681cff2c404 |
completed | April 29, 2026, 12:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0abcadc3e081908e98e6810b3cba6e |
completed | May 18, 2026, 7:15 a.m. |
| NEDg | Description generation | batch_6a0abda9a0f08190945fbf26bf893642 |
completed | May 18, 2026, 7:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0abef28a9481908c67d1eb401147d4 |
completed | May 18, 2026, 7:25 a.m. |
Created at: April 16, 2026, 8:41 p.m.