Triple
T15233398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuggerah railway station |
E364060
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
TGR
TGR is the station code for Tuggerah railway station on the Central Coast of New South Wales, Australia.
|
E1144276
|
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: TGR | Statement: [Tuggerah railway station, hasStationCode, TGR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TGR Context triple: [Tuggerah railway station, hasStationCode, TGR]
-
A.
TGR
TGR is the acronym for Chile’s Tesorería General de la República, the public institution responsible for managing and safeguarding the central government’s financial resources and tax revenues.
-
B.
TGR Foundation
TGR Foundation is a charitable organization focused on providing educational opportunities and support to underserved youth, established by professional golfer Tiger Woods.
-
C.
TGM
TGM is a suburban rail line serving the Buenos Aires metropolitan area, connecting the city with its northern suburbs.
-
D.
TGW
TGW is the ICAO airline designator for Scoot, a Singapore-based low-cost carrier.
-
E.
TRG
TRG is the IATA airport code for Tauranga Airport in Tauranga, New Zealand.
- 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: TGR Triple: [Tuggerah railway station, hasStationCode, TGR]
Generated description
TGR is the station code for Tuggerah railway station on the Central Coast of New South Wales, Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TGR Target entity description: TGR is the station code for Tuggerah railway station on the Central Coast of New South Wales, Australia.
-
A.
TGR
TGR is the acronym for Chile’s Tesorería General de la República, the public institution responsible for managing and safeguarding the central government’s financial resources and tax revenues.
-
B.
TGR Foundation
TGR Foundation is a charitable organization focused on providing educational opportunities and support to underserved youth, established by professional golfer Tiger Woods.
-
C.
TGM
TGM is a suburban rail line serving the Buenos Aires metropolitan area, connecting the city with its northern suburbs.
-
D.
TGW
TGW is the ICAO airline designator for Scoot, a Singapore-based low-cost carrier.
-
E.
TRG
TRG is the IATA airport code for Tauranga Airport in Tauranga, New Zealand.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007d7237081908dc17900ee66b64f |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd3dd5a081909a1a7fceda648c29 |
completed | May 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69fede8eed2c8190adb45306a1ec0faa |
completed | May 9, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fedef546708190bdeedd2c61fdbc86 |
completed | May 9, 2026, 7:15 a.m. |
Created at: April 10, 2026, 3:12 a.m.