Triple
T10234664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Club Social y Deportivo Municipal |
E243430
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
El Muni
El Muni is the popular nickname of Club Social y Deportivo Municipal, a prominent Guatemalan football club with a rich domestic history and passionate fan base.
|
E851499
|
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: El Muni | Statement: [Club Social y Deportivo Municipal, nickname, El Muni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Muni Context triple: [Club Social y Deportivo Municipal, nickname, El Muni]
-
A.
Muni
Muni was an Indian character actor known for his supporting roles in mid-20th-century cinema.
-
B.
Muni
Muni is an honorific title traditionally used in Indian culture to denote a sage, seer, or revered spiritual teacher.
-
C.
Muni
Muni is San Francisco’s primary public transit agency, operating buses, light rail, historic streetcars, and the city’s iconic cable cars.
-
D.
MUNI
MUNI is the commonly used abbreviation for Masaryk University, a major public research university based in Brno, Czech Republic.
-
E.
El Monte Station
El Monte Station is a major transit hub in El Monte, California, serving as a key bus and rail facility in the Los Angeles County public transportation network.
- 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: El Muni Triple: [Club Social y Deportivo Municipal, nickname, El Muni]
Generated description
El Muni is the popular nickname of Club Social y Deportivo Municipal, a prominent Guatemalan football club with a rich domestic history and passionate fan base.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: El Muni Target entity description: El Muni is the popular nickname of Club Social y Deportivo Municipal, a prominent Guatemalan football club with a rich domestic history and passionate fan base.
-
A.
Muni
Muni was an Indian character actor known for his supporting roles in mid-20th-century cinema.
-
B.
Muni
Muni is an honorific title traditionally used in Indian culture to denote a sage, seer, or revered spiritual teacher.
-
C.
Muni
Muni is San Francisco’s primary public transit agency, operating buses, light rail, historic streetcars, and the city’s iconic cable cars.
-
D.
MUNI
MUNI is the commonly used abbreviation for Masaryk University, a major public research university based in Brno, Czech Republic.
-
E.
El Monte Station
El Monte Station is a major transit hub in El Monte, California, serving as a key bus and rail facility in the Los Angeles County public transportation network.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d20cd8708190ba42752597d62008 |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f757b514819087f5d5f659c50c66 |
completed | April 9, 2026, 12:48 a.m. |
| NEDg | Description generation | batch_69d6fa2ea97081908395048218c0592b |
completed | April 9, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fcb5dc4c8190944a423a9d16a4b8 |
completed | April 9, 2026, 1:11 a.m. |
Created at: April 6, 2026, 11:21 a.m.