Triple
T14150422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Begumpet Airport |
E350663
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
BPM
BPM is the IATA airport code for Begumpet Airport in Hyderabad, India.
|
E1082310
|
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: BPM | Statement: [Begumpet Airport, IATAcode, BPM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BPM Context triple: [Begumpet Airport, IATAcode, BPM]
-
A.
BPM
BPM is the standard IMF manual that provides internationally agreed guidelines for compiling and presenting balance of payments and international investment position statistics.
-
B.
BPS
BPS is a minimalist framework in generative syntax that represents sentence structure using hierarchically arranged, feature-driven phrase markers without traditional phrase structure rules.
-
C.
BPS
BPS is the National Rail station code for Blackpool South railway station in Lancashire, England.
-
D.
BPS
BPS is Pakistan’s standardized government pay and grading structure used to determine salaries, benefits, and promotion scales for public sector employees.
-
E.
BPS
BPS refers to the Brigada Político-Social, the Francoist Spanish political police force notorious for repressing and persecuting political dissidents during the dictatorship.
- 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: BPM Triple: [Begumpet Airport, IATAcode, BPM]
Generated description
BPM is the IATA airport code for Begumpet Airport in Hyderabad, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BPM Target entity description: BPM is the IATA airport code for Begumpet Airport in Hyderabad, India.
-
A.
BPM
BPM is the standard IMF manual that provides internationally agreed guidelines for compiling and presenting balance of payments and international investment position statistics.
-
B.
BPS
BPS is a minimalist framework in generative syntax that represents sentence structure using hierarchically arranged, feature-driven phrase markers without traditional phrase structure rules.
-
C.
BPS
BPS is Pakistan’s standardized government pay and grading structure used to determine salaries, benefits, and promotion scales for public sector employees.
-
D.
BPS
BPS refers to the Brigada Político-Social, the Francoist Spanish political police force notorious for repressing and persecuting political dissidents during the dictatorship.
-
E.
BPS
BPS is the National Rail station code for Blackpool South railway station in Lancashire, England.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6124e23481909e5132a40a1d8624 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf21f8c8819097ff26e6bb345b52 |
completed | May 7, 2026, 6:51 p.m. |
| NEDg | Description generation | batch_69fce0cc78e881909090ac42a97ebb12 |
completed | May 7, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce1f53a8881909fd1258729a9879d |
completed | May 7, 2026, 7:03 p.m. |
Created at: April 10, 2026, 12:56 a.m.