Triple
T10712967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darbhanga Airport |
E252586
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
DBR
DBR is the IATA airport code for Darbhanga Airport in Bihar, India.
|
E881037
|
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: DBR | Statement: [Darbhanga Airport, IATAcode, DBR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DBR Context triple: [Darbhanga Airport, IATAcode, DBR]
-
A.
DB1
DB1 is the stock ticker symbol for Deutsche Börse AG, a major German exchange organization that operates the Frankfurt Stock Exchange and related financial market infrastructure.
-
B.
BDB
BDB is the IATA airport code for Bundaberg Airport, a regional airport serving the city of Bundaberg in Queensland, Australia.
-
C.
DBP
DBP is Malaysia’s national language and literature agency responsible for developing, standardizing, and promoting the Malay language and its literary heritage.
-
D.
DBP
DBP is a pro-Kurdish political party in Turkey that operates as a key component of the broader Kurdish political movement associated with the Kurdistan Communities Union.
-
E.
DBS
DBS is the UK government agency responsible for helping employers make safer recruitment decisions by checking individuals’ criminal records and barring status.
- 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: DBR Triple: [Darbhanga Airport, IATAcode, DBR]
Generated description
DBR is the IATA airport code for Darbhanga Airport in Bihar, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DBR Target entity description: DBR is the IATA airport code for Darbhanga Airport in Bihar, India.
-
A.
DB1
DB1 is the stock ticker symbol for Deutsche Börse AG, a major German exchange organization that operates the Frankfurt Stock Exchange and related financial market infrastructure.
-
B.
BDB
BDB is the IATA airport code for Bundaberg Airport, a regional airport serving the city of Bundaberg in Queensland, Australia.
-
C.
DBP
DBP is Malaysia’s national language and literature agency responsible for developing, standardizing, and promoting the Malay language and its literary heritage.
-
D.
DBP
DBP is a pro-Kurdish political party in Turkey that operates as a key component of the broader Kurdish political movement associated with the Kurdistan Communities Union.
-
E.
DBS
DBS is the UK government agency responsible for helping employers make safer recruitment decisions by checking individuals’ criminal records and barring status.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fe54465081909640f6d7a2314fcb |
completed | April 9, 2026, 1:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d99917df2c819099be2a9b9c4a2ce7 |
completed | April 11, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69d99e86e198819080f71400295a31e7 |
completed | April 11, 2026, 1:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69dadccd1d7081908ae53b97d2c2a6cb |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 8, 2026, 9:13 p.m.