Triple
T10471158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skelmanthorpe |
E246923
|
entity |
| Predicate | postcodeArea |
P920
|
FINISHED |
| Object |
HD
HD is a postcode area in the United Kingdom covering Huddersfield and its surrounding districts in West Yorkshire.
|
E865519
|
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: HD | Statement: [Skelmanthorpe, postcodeArea, HD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HD Context triple: [Skelmanthorpe, postcodeArea, HD]
-
A.
HD
HD is the vehicle registration code used for the German city of Heidelberg.
-
B.
HD
HD is the New York Stock Exchange ticker symbol for The Home Depot, the largest home improvement retail chain in the United States.
-
C.
HD
HD is the standard astronomical abbreviation for the Henry Draper Catalogue, a widely used star catalog that assigns spectral classifications and identifiers to hundreds of thousands of stars.
-
D.
HD
HD is an inherited neurodegenerative disorder characterized by progressive motor dysfunction, cognitive decline, and psychiatric symptoms caused by a CAG repeat expansion in the huntingtin gene.
-
E.
HDR
HDR is the commonly used abbreviation for the United Nations Development Programme’s annual Human Development Report, which assesses global progress in human development beyond economic growth alone.
- 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: HD Triple: [Skelmanthorpe, postcodeArea, HD]
Generated description
HD is a postcode area in the United Kingdom covering Huddersfield and its surrounding districts in West Yorkshire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HD Target entity description: HD is a postcode area in the United Kingdom covering Huddersfield and its surrounding districts in West Yorkshire.
-
A.
HD
HD is the New York Stock Exchange ticker symbol for The Home Depot, the largest home improvement retail chain in the United States.
-
B.
HD
HD is the vehicle registration code used for the German city of Heidelberg.
-
C.
HD
HD is the standard astronomical abbreviation for the Henry Draper Catalogue, a widely used star catalog that assigns spectral classifications and identifiers to hundreds of thousands of stars.
-
D.
HD
HD is an inherited neurodegenerative disorder characterized by progressive motor dysfunction, cognitive decline, and psychiatric symptoms caused by a CAG repeat expansion in the huntingtin gene.
-
E.
HDR
HDR is the commonly used abbreviation for the United Nations Development Programme’s annual Human Development Report, which assesses global progress in human development beyond economic growth alone.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509305fec81908b1acd91ae1f875d |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8a0094910819094d492c87b31898e |
completed | April 10, 2026, 7 a.m. |
| NEDg | Description generation | batch_69d8a45e5a108190ba8e6ba4af858b19 |
completed | April 10, 2026, 7:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8a890c6b081908e57cc74f18d788b |
completed | April 10, 2026, 7:36 a.m. |
Created at: April 6, 2026, 12:20 p.m.