Triple
T18048693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | México En La Piel |
E431868
|
entity |
| Predicate | containsSong |
P20452
|
FINISHED |
| Object |
La bikina
"La Bikina" is a famous Mexican mariachi song, widely popularized by Luis Miguel and recognized as a classic of traditional Mexican music.
|
E1302867
|
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: La bikina | Statement: [México En La Piel, containsSong, La bikina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La bikina Context triple: [México En La Piel, containsSong, La bikina]
-
A.
Birnin Kebbi
Birnin Kebbi is a city in northwestern Nigeria that serves as the administrative and economic center of Kebbi State.
-
B.
Bikenibeu Paeniu
Bikenibeu Paeniu is a Tuvaluan politician who served multiple terms as the country's prime minister during the 1990s.
-
C.
Bindabasini
Bindabasini is a town located within Nepal's Madhesh Province.
-
D.
Bibilis
Bibilis was an important ancient urban center in Celtiberia, likely serving as a key political and economic hub in the region.
-
E.
Cô Bé
Cô Bé is a youthful female spirit in the Vietnamese Đạo Mẫu tradition, often revered as a playful yet protective attendant of higher mother goddesses.
- 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: La bikina Triple: [México En La Piel, containsSong, La bikina]
Generated description
"La Bikina" is a famous Mexican mariachi song, widely popularized by Luis Miguel and recognized as a classic of traditional Mexican music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La bikina Target entity description: "La Bikina" is a famous Mexican mariachi song, widely popularized by Luis Miguel and recognized as a classic of traditional Mexican music.
-
A.
Birnin Kebbi
Birnin Kebbi is a city in northwestern Nigeria that serves as the administrative and economic center of Kebbi State.
-
B.
Bikenibeu Paeniu
Bikenibeu Paeniu is a Tuvaluan politician who served multiple terms as the country's prime minister during the 1990s.
-
C.
Bindabasini
Bindabasini is a town located within Nepal's Madhesh Province.
-
D.
Bibilis
Bibilis was an important ancient urban center in Celtiberia, likely serving as a key political and economic hub in the region.
-
E.
Cô Bé
Cô Bé is a youthful female spirit in the Vietnamese Đạo Mẫu tradition, often revered as a playful yet protective attendant of higher mother goddesses.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bff39394819080407e1614bd5da9 |
completed | April 19, 2026, 11:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0349bd7b288190b6b5f2548379d280 |
completed | May 12, 2026, 3:39 p.m. |
| NEDg | Description generation | batch_6a034b81d3a4819087f9ead00f13635e |
completed | May 12, 2026, 3:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a034c190a58819096c77a2254511256 |
completed | May 12, 2026, 3:49 p.m. |
Created at: April 10, 2026, 10:25 a.m.