Triple
T14155097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarro railway station |
E350794
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
TRO
TRO is the station code for Tarro railway station, a regional train stop in New South Wales, Australia.
|
E605995
|
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: TRO | Statement: [Tarro railway station, hasStationCode, TRO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TRO Context triple: [Tarro railway station, hasStationCode, TRO]
-
A.
TRO
TRO is the National Rail station code for Trowbridge railway station in Wiltshire, England.
-
B.
TRE
TRE is the station code for the Trenton Transit Center, a major rail hub in Trenton, New Jersey serving Amtrak, NJ Transit, and SEPTA trains.
-
C.
TRE
TRE is the IATA airport code for Tiree Airport, which serves the island of Tiree in Scotland’s Inner Hebrides.
-
D.
TROA
TROA is a water management agreement that governs the operation and allocation of flows in the Truckee River system in California and Nevada.
-
E.
TOR
TOR is the official code designation used for the Georgian football club FC Torpedo Kutaisi.
- 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: TRO Triple: [Tarro railway station, hasStationCode, TRO]
Generated description
TRO is the station code for Tarro railway station, a regional train stop in New South Wales, Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TRO Target entity description: TRO is the station code for Tarro railway station, a regional train stop in New South Wales, Australia.
-
A.
TRO
chosen
TRO is the National Rail station code for Trowbridge railway station in Wiltshire, England.
-
B.
TRE
TRE is the IATA airport code for Tiree Airport, which serves the island of Tiree in Scotland’s Inner Hebrides.
-
C.
TRE
TRE is the station code for the Trenton Transit Center, a major rail hub in Trenton, New Jersey serving Amtrak, NJ Transit, and SEPTA trains.
-
D.
TROA
TROA is a water management agreement that governs the operation and allocation of flows in the Truckee River system in California and Nevada.
-
E.
TOR
TOR is the official code designation used for the Georgian football club FC Torpedo Kutaisi.
- F. None of above.
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_69de6135744c81909a43d659f5fe2895 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7ec6448819087e50aac964ec637 |
completed | May 7, 2026, 8:37 p.m. |
| NEDg | Description generation | batch_69fd06d23af481909924b61260788f0b |
completed | May 7, 2026, 9:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd075f7a40819097de4bdbd3fad547 |
completed | May 7, 2026, 9:42 p.m. |
Created at: April 10, 2026, 12:58 a.m.