Triple
T10668899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balderas |
E251432
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
BA
BA is the station code for Balderas, a metro station in Mexico City’s rapid transit system.
|
E876738
|
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: BA | Statement: [Balderas, hasStationCode, BA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BA Context triple: [Balderas, hasStationCode, BA]
-
A.
BA
BA is the New York Stock Exchange ticker symbol for The Boeing Company, a major American aerospace and defense manufacturer.
-
B.
BA
BA is the vehicle registration code used on license plates for cars registered in Bratislava, the capital city of Slovakia.
-
C.
BA
BA is the two-letter ISO 3166-1 alpha-2 country code assigned to Bosnia and Herzegovina.
-
D.
BA
BA is the commonly used abbreviation for the British Academy, the United Kingdom’s national academy for the humanities and social sciences.
-
E.
BA
BA is a common abbreviation for Broken Arrow, a suburban city in northeastern Oklahoma.
- 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: BA Triple: [Balderas, hasStationCode, BA]
Generated description
BA is the station code for Balderas, a metro station in Mexico City’s rapid transit system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BA Target entity description: BA is the station code for Balderas, a metro station in Mexico City’s rapid transit system.
-
A.
BA
BA is the station code for Bathurst station on the Toronto Transit Commission subway system.
-
B.
BA
BA is a common abbreviation for Broken Arrow, a suburban city in northeastern Oklahoma.
-
C.
BA
BA is the vehicle registration code used on license plates for cars registered in Bratislava, the capital city of Slovakia.
-
D.
BA
BA is the vehicle registration code used on license plates for the city and district of Bamberg in Upper Franconia, Germany.
-
E.
BA
BA is the former stock ticker symbol for Bell Aliant, a Canadian telecommunications company that provided internet, phone, and TV services primarily in Atlantic Canada before being acquired by Bell Canada.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f861513881909b44c711371086b7 |
completed | April 9, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a9e722c8190a5d9f728282b9a52 |
completed | April 10, 2026, 10:33 p.m. |
| NEDg | Description generation | batch_69d97cc2b66c8190909a23927fbe3af5 |
completed | April 10, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d97e189800819087bf6af15b2370a2 |
completed | April 10, 2026, 10:47 p.m. |
Created at: April 8, 2026, 9:09 p.m.