Triple
T14862558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisarow railway station |
E349532
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
LSW
LSW is the station code for Lisarow railway station on the Main Northern line in New South Wales, Australia.
|
E1123766
|
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: LSW | Statement: [Lisarow railway station, hasStationCode, LSW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LSW Context triple: [Lisarow railway station, hasStationCode, LSW]
-
A.
LWS
LWS is the IATA airport code for the regional airport serving Lewiston, Idaho.
-
B.
LWS
LWS is the scene file format used by the LightWave 3D software to store information about objects, animation, cameras, and lights in a 3D project.
-
C.
L86 LSW
The L86 LSW is the light support weapon variant of the British SA80 family, designed to provide sustained, accurate automatic fire at the squad level.
-
D.
LLWS
LLWS is the Little League World Series, an annual international youth baseball tournament featuring teams of 10- to 12-year-olds competing for the world championship.
-
E.
LW
LW is the station code used to identify Lawrence West station on Toronto's subway system.
- 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: LSW Triple: [Lisarow railway station, hasStationCode, LSW]
Generated description
LSW is the station code for Lisarow railway station on the Main Northern line in New South Wales, Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LSW Target entity description: LSW is the station code for Lisarow railway station on the Main Northern line in New South Wales, Australia.
-
A.
LWS
LWS is the scene file format used by the LightWave 3D software to store information about objects, animation, cameras, and lights in a 3D project.
-
B.
LWS
LWS is the IATA airport code for the regional airport serving Lewiston, Idaho.
-
C.
L86 LSW
The L86 LSW is the light support weapon variant of the British SA80 family, designed to provide sustained, accurate automatic fire at the squad level.
-
D.
LLWS
LLWS is the Little League World Series, an annual international youth baseball tournament featuring teams of 10- to 12-year-olds competing for the world championship.
-
E.
LW
LW is the station code used to identify Lawrence West station on Toronto's subway system.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded574d0ec8190a6afed672ba6c2f9 |
completed | April 15, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe650c41b081909cdadbaec472eee3 |
completed | May 8, 2026, 10:34 p.m. |
| NEDg | Description generation | batch_69fe66218cb88190b8c86b359abaa14c |
completed | May 8, 2026, 10:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe66de57cc8190935d764d399f56f5 |
completed | May 8, 2026, 10:42 p.m. |
Created at: April 10, 2026, 1:54 a.m.