Triple
T1646976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clayton Hall tram stop |
E35603
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
CLH
CLH is the station code for Clayton Hall tram stop on the Manchester Metrolink light rail system in Greater Manchester, England.
|
E185637
|
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: CLH | Statement: [Clayton Hall tram stop, hasStationCode, CLH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CLH Context triple: [Clayton Hall tram stop, hasStationCode, CLH]
-
A.
LCH
LCH is a leading global clearing house that provides central counterparty clearing services for a wide range of financial markets and asset classes.
-
B.
CH-LU
CH-LU is the ISO 3166-2 code designating the Swiss canton of Lucerne.
-
C.
CL-CO
CL-CO is the ISO 3166-2 subdivision code assigned to the commune of Salamanca in Chile’s Coquimbo Region.
-
D.
CLB
CLB is the abbreviated short name commonly used for the Major League Soccer club Columbus Crew.
-
E.
CLB
CLB is the abbreviated name for Japan’s Cabinet Legislation Bureau, the government body that reviews and drafts legislation and advises the Cabinet on legal matters.
- 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: CLH Triple: [Clayton Hall tram stop, hasStationCode, CLH]
Generated description
CLH is the station code for Clayton Hall tram stop on the Manchester Metrolink light rail system in Greater Manchester, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CLH Target entity description: CLH is the station code for Clayton Hall tram stop on the Manchester Metrolink light rail system in Greater Manchester, England.
-
A.
LCH
LCH is a leading global clearing house that provides central counterparty clearing services for a wide range of financial markets and asset classes.
-
B.
CH-LU
CH-LU is the ISO 3166-2 code designating the Swiss canton of Lucerne.
-
C.
CL-CO
CL-CO is the ISO 3166-2 subdivision code assigned to the commune of Salamanca in Chile’s Coquimbo Region.
-
D.
CLB
CLB is the abbreviated short name commonly used for the Major League Soccer club Columbus Crew.
-
E.
CLB
CLB is the abbreviated name for Japan’s Cabinet Legislation Bureau, the government body that reviews and drafts legislation and advises the Cabinet on legal matters.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a62b26c8190bf97bb80c228b47e |
completed | March 5, 2026, 4:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad60a4bd5481908b46f44364c15592 |
completed | March 8, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_69ad617fea508190ae6fa86cf9ea814a |
completed | March 8, 2026, 11:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad62028a448190a0c3f0dadae6a741 |
completed | March 8, 2026, 11:48 a.m. |
Created at: March 4, 2026, 7:28 p.m.