Triple
T7909017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guntur Junction railway station |
E183649
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
GNT
GNT is the station code for Guntur Junction, a major railway hub in the Indian state of Andhra Pradesh.
|
E700711
|
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: GNT | Statement: [Guntur Junction railway station, stationCode, GNT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GNT Context triple: [Guntur Junction railway station, stationCode, GNT]
-
A.
GNT
GNT is an abbreviation for the Good News Translation, a modern English Bible version known for its clear, easy-to-understand language.
-
B.
WGN
WGN is the National Rail station code for Wigan North Western railway station in Greater Manchester, England.
-
C.
WGN America
WGN America is a U.S.-based cable television network known for airing syndicated series, movies, and original programming to a national audience.
-
D.
UNTV
UNTV is a Philippine television network known for its public service-oriented programming, news coverage, and religious content.
-
E.
TNT network
TNT network is an American cable television channel known for airing drama series, sports coverage, and feature films.
- 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: GNT Triple: [Guntur Junction railway station, stationCode, GNT]
Generated description
GNT is the station code for Guntur Junction, a major railway hub in the Indian state of Andhra Pradesh.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GNT Target entity description: GNT is the station code for Guntur Junction, a major railway hub in the Indian state of Andhra Pradesh.
-
A.
GNT
GNT is an abbreviation for the Good News Translation, a modern English Bible version known for its clear, easy-to-understand language.
-
B.
WGN
WGN is the National Rail station code for Wigan North Western railway station in Greater Manchester, England.
-
C.
WGN America
WGN America is a U.S.-based cable television network known for airing syndicated series, movies, and original programming to a national audience.
-
D.
UNTV
UNTV is a Philippine television network known for its public service-oriented programming, news coverage, and religious content.
-
E.
TNT network
TNT network is an American cable television channel known for airing drama series, sports coverage, and feature films.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a5c85ac81908de2ca387826ea2f |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bd54f548190916bf00852f37224 |
completed | March 31, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_69cb78f72878819086092c9fe267e37f |
completed | March 31, 2026, 7:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbbf2a357081908ac2230f0dfd9cdc |
completed | March 31, 2026, 12:33 p.m. |
Created at: March 30, 2026, 5:03 p.m.