Triple
T7302483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balurghat Airport |
E167890
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
RGH
RGH is the IATA airport code for Balurghat Airport, a regional airport serving the town of Balurghat in West Bengal, India.
|
E654871
|
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: RGH | Statement: [Balurghat Airport, IATAcode, RGH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RGH Context triple: [Balurghat Airport, IATAcode, RGH]
-
A.
RGK
RGK is the commonly used abbreviation for the Ryukyu Golden Kings, a professional basketball team based in Okinawa, Japan.
-
B.
RG
RG is a postcode area in southern England covering Reading and surrounding towns in Berkshire and parts of neighbouring counties.
-
C.
RG
RG is the former IATA airline designator for Varig, the now-defunct Brazilian flag carrier that was once the country’s largest airline.
-
D.
RGS
RGS is the commonly used abbreviation for the Royal Geographical Society, the United Kingdom’s leading learned society and professional body for geography and geographers.
-
E.
KGH
KGH is the National Rail station code for Kinghorn railway station in Fife, Scotland.
- 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: RGH Triple: [Balurghat Airport, IATAcode, RGH]
Generated description
RGH is the IATA airport code for Balurghat Airport, a regional airport serving the town of Balurghat in West Bengal, India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RGH Target entity description: RGH is the IATA airport code for Balurghat Airport, a regional airport serving the town of Balurghat in West Bengal, India.
-
A.
RGK
RGK is the commonly used abbreviation for the Ryukyu Golden Kings, a professional basketball team based in Okinawa, Japan.
-
B.
RG
RG is a postcode area in southern England covering Reading and surrounding towns in Berkshire and parts of neighbouring counties.
-
C.
RG
RG is the former IATA airline designator for Varig, the now-defunct Brazilian flag carrier that was once the country’s largest airline.
-
D.
RGS
RGS is the commonly used abbreviation for the Royal Geographical Society, the United Kingdom’s leading learned society and professional body for geography and geographers.
-
E.
KGH
KGH is the National Rail station code for Kinghorn railway station in Fife, Scotland.
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebb2261c8190ae9095c8e110b528 |
completed | March 27, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e558098c819091562566c59332e2 |
completed | March 28, 2026, 2:27 p.m. |
| NEDg | Description generation | batch_69c7e6671e2c8190aed42aa673540efa |
completed | March 28, 2026, 2:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7e6cd820881909ef8fd3bc28d2716 |
completed | March 28, 2026, 2:33 p.m. |
Created at: March 27, 2026, 3:01 p.m.