Triple
T5287740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamilton, South Lanarkshire |
E119662
|
entity |
| Predicate | postalArea |
P920
|
FINISHED |
| Object |
ML3
ML3 is a UK postcode district covering part of Hamilton and surrounding areas in South Lanarkshire, Scotland.
|
E508014
|
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: ML3 | Statement: [Hamilton, South Lanarkshire, postalArea, ML3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ML3 Context triple: [Hamilton, South Lanarkshire, postalArea, ML3]
-
A.
MLC
MLC is the upper house of the bicameral legislature of the Indian state of Maharashtra, responsible for reviewing and passing state legislation.
-
B.
MLI
MLI is the three-letter ISO 3166-1 alpha-3 country code assigned to Mali.
-
C.
MVL
MVL is the abbreviation for the Man Vehicle Laboratory, a research lab focused on human factors and human–machine interaction in aerospace and related fields.
-
D.
MCL
MCL is a specialized postgraduate law degree at the University of Cambridge focused on corporate and commercial law.
-
E.
M3
M3 is a circular line of the Copenhagen Metro that loops around the city center, connecting key districts and interchange stations.
- 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: ML3 Triple: [Hamilton, South Lanarkshire, postalArea, ML3]
Generated description
ML3 is a UK postcode district covering part of Hamilton and surrounding areas in South Lanarkshire, Scotland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ML3 Target entity description: ML3 is a UK postcode district covering part of Hamilton and surrounding areas in South Lanarkshire, Scotland.
-
A.
MLC
MLC is the upper house of the bicameral legislature of the Indian state of Maharashtra, responsible for reviewing and passing state legislation.
-
B.
MLI
MLI is the three-letter ISO 3166-1 alpha-3 country code assigned to Mali.
-
C.
MVL
MVL is the abbreviation for the Man Vehicle Laboratory, a research lab focused on human factors and human–machine interaction in aerospace and related fields.
-
D.
MCL
MCL is a specialized postgraduate law degree at the University of Cambridge focused on corporate and commercial law.
-
E.
M3
M3 is a circular line of the Copenhagen Metro that loops around the city center, connecting key districts and interchange stations.
- 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_69bd446de5648190b313a90bd96730d2 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd84db300c8190a63ac51552f0e9a6 |
completed | March 20, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06ecf4748190ab2bdd672f4ab14d |
completed | March 21, 2026, 9 p.m. |
| NEDg | Description generation | batch_69bf090aa7c88190a66694cec6d6a370 |
completed | March 21, 2026, 9:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf09d3b8148190b79bdf3cb77000b4 |
completed | March 21, 2026, 9:12 p.m. |
Created at: March 20, 2026, 1:52 p.m.