Triple
T14256696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aldermaston railway station |
E353401
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
AMT
AMT is the National Rail station code for Aldermaston railway station in Berkshire, England.
|
E1090162
|
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: AMT | Statement: [Aldermaston railway station, hasStationCode, AMT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AMT Context triple: [Aldermaston railway station, hasStationCode, AMT]
-
A.
AMT
AMT is the standard time zone used in Armenia, corresponding to UTC+4 hours.
-
B.
Amazon Time (AMT)
Amazon Time (AMT) is a Brazilian time zone used in parts of the Amazon region, including the city of Manaus.
-
C.
AMTK
AMTK is the reporting mark used by Amtrak, the United States’ national passenger railroad service, to identify its locomotives and rolling stock.
-
D.
AMAT
AMAT is the stock ticker symbol for Applied Materials, a leading American company that supplies equipment, services, and software for the semiconductor and display industries.
-
E.
AMMTC
AMMTC is a high-level ASEAN forum where ministers coordinate regional policies and cooperation to combat transnational crime.
- 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: AMT Triple: [Aldermaston railway station, hasStationCode, AMT]
Generated description
AMT is the National Rail station code for Aldermaston railway station in Berkshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AMT Target entity description: AMT is the National Rail station code for Aldermaston railway station in Berkshire, England.
-
A.
AMT
AMT is the standard time zone used in Armenia, corresponding to UTC+4 hours.
-
B.
Amazon Time (AMT)
Amazon Time (AMT) is a Brazilian time zone used in parts of the Amazon region, including the city of Manaus.
-
C.
AMTK
AMTK is the reporting mark used by Amtrak, the United States’ national passenger railroad service, to identify its locomotives and rolling stock.
-
D.
AMAT
AMAT is the stock ticker symbol for Applied Materials, a leading American company that supplies equipment, services, and software for the semiconductor and display industries.
-
E.
AMMTC
AMMTC is a high-level ASEAN forum where ministers coordinate regional policies and cooperation to combat transnational crime.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62992a188190bc046fbab5a149d6 |
completed | April 14, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd325f213881909acf776ff4831c30 |
completed | May 8, 2026, 12:46 a.m. |
| NEDg | Description generation | batch_69fd3417e8e88190b099bfe4ba30f364 |
completed | May 8, 2026, 12:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd37df3dfc8190a594abb2c14e11bb |
completed | May 8, 2026, 1:09 a.m. |
Created at: April 10, 2026, 1:09 a.m.