Triple
T20000819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adlington railway station |
E494320
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
ADL
ADL is the National Rail station code for Adlington railway station in Lancashire, England.
|
E1405489
|
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: ADL | Statement: [Adlington railway station, hasStationCode, ADL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ADL Context triple: [Adlington railway station, hasStationCode, ADL]
-
A.
ADL
ADL is the three-letter IATA airport code for Adelaide Airport, the main international and domestic airport serving Adelaide, South Australia.
-
B.
ADL
ADL is a leading U.S.-based civil rights and Jewish advocacy organization focused on combating antisemitism, extremism, and hate.
-
C.
ADL Initiative
ADL Initiative is a U.S. Department of Defense-sponsored program that advances standards and technologies for distributed learning and training systems.
-
D.
ALWD
ALWD is a professional organization of legal writing directors and professors dedicated to improving legal communication and pedagogy in law schools.
-
E.
ALD
ALD is the former railway station code used for Prayagraj Junction, a major rail hub in the Indian state of Uttar Pradesh.
- 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: ADL Triple: [Adlington railway station, hasStationCode, ADL]
Generated description
ADL is the National Rail station code for Adlington railway station in Lancashire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ADL Target entity description: ADL is the National Rail station code for Adlington railway station in Lancashire, England.
-
A.
ADL
ADL is the three-letter IATA airport code for Adelaide Airport, the main international and domestic airport serving Adelaide, South Australia.
-
B.
ADL
ADL is a leading U.S.-based civil rights and Jewish advocacy organization focused on combating antisemitism, extremism, and hate.
-
C.
ADL Initiative
ADL Initiative is a U.S. Department of Defense-sponsored program that advances standards and technologies for distributed learning and training systems.
-
D.
ALWD
ALWD is a professional organization of legal writing directors and professors dedicated to improving legal communication and pedagogy in law schools.
-
E.
ALD
ALD is the former railway station code used for Prayagraj Junction, a major rail hub in the Indian state of Uttar Pradesh.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a15f308190a99ac3205f948acb |
completed | April 20, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a080509d0748190a2703a2e3ddb0fc1 |
completed | May 16, 2026, 5:47 a.m. |
| NEDg | Description generation | batch_6a0806563e1c8190b702fcfc009c84d5 |
completed | May 16, 2026, 5:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0806e876c881909f0c30e5dd16ce20 |
completed | May 16, 2026, 5:55 a.m. |
Created at: April 11, 2026, 3:32 p.m.