Triple
T7233465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Electoral Tribunal of the Federal Judiciary |
E154959
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
TEPJF
TEPJF is Mexico’s highest electoral court, responsible for resolving electoral disputes and safeguarding the legality and constitutionality of federal and local elections.
|
E650487
|
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: TEPJF | Statement: [Electoral Tribunal of the Federal Judiciary, shortName, TEPJF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TEPJF Context triple: [Electoral Tribunal of the Federal Judiciary, shortName, TEPJF]
-
A.
TJCP
TJCP is the ICAO airport code assigned to Benjamin Rivera Noriega Airport in Puerto Rico.
-
B.
TJPB
TJPB is the acronym for the Court of Justice of the Brazilian state of Paraíba, the highest body of its state judiciary responsible for second-instance judicial decisions.
-
C.
TOJ
TOJ is the IATA airport code for Torrejón Air Base, a military airfield located near Madrid, Spain.
-
D.
TJP
TJP is the station code used to identify Tianjin Railway Station in China’s railway network.
-
E.
TJSJ
TJSJ is the ICAO airport code for Luis Muñoz Marín International Airport, the main commercial airport serving San Juan, Puerto Rico.
- 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: TEPJF Triple: [Electoral Tribunal of the Federal Judiciary, shortName, TEPJF]
Generated description
TEPJF is Mexico’s highest electoral court, responsible for resolving electoral disputes and safeguarding the legality and constitutionality of federal and local elections.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TEPJF Target entity description: TEPJF is Mexico’s highest electoral court, responsible for resolving electoral disputes and safeguarding the legality and constitutionality of federal and local elections.
-
A.
TJCP
TJCP is the ICAO airport code assigned to Benjamin Rivera Noriega Airport in Puerto Rico.
-
B.
TJPB
TJPB is the acronym for the Court of Justice of the Brazilian state of Paraíba, the highest body of its state judiciary responsible for second-instance judicial decisions.
-
C.
TOJ
TOJ is the IATA airport code for Torrejón Air Base, a military airfield located near Madrid, Spain.
-
D.
TJP
TJP is the station code used to identify Tianjin Railway Station in China’s railway network.
-
E.
TJSJ
TJSJ is the ICAO airport code for Luis Muñoz Marín International Airport, the main commercial airport serving San Juan, Puerto Rico.
- 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_69c68811dd1c8190ac460bb39e64e1f0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea11b03c81909702ad2e0c29758a |
completed | March 27, 2026, 8:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc2786f88190b0008891f801ca95 |
completed | March 28, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_69c7cd7cb5f081908c2ca7ce8653f25f |
completed | March 28, 2026, 12:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7cdf9e0608190a466ed638b728924 |
completed | March 28, 2026, 12:47 p.m. |
Created at: March 27, 2026, 2:55 p.m.