Triple
T15169185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gipsy Hill |
E362439
|
entity |
| Predicate | postcodeDistrict |
P222
|
FINISHED |
| Object |
SE27
SE27 is a postcode district in the London Borough of Lambeth, covering areas such as West Norwood and parts of Gipsy Hill in south London.
|
E1142494
|
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: SE27 | Statement: [Gipsy Hill, postcodeDistrict, SE27]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SE27 Context triple: [Gipsy Hill, postcodeDistrict, SE27]
-
A.
ME 27
ME 27 is a state highway in Maine that runs north–south, connecting coastal and central regions with the Canadian border.
-
B.
Sema
Sema is a Russian diminutive form of the male given name Semyon.
-
C.
E-27
E-27 is the station code assigned to one of the platforms or lines serving Tokyo’s major transit hub, Shinjuku Station.
-
D.
SECA
SECA refers to designated maritime zones where strict limits are imposed on the sulfur content of ship fuel to reduce air pollution and protect human health and the environment.
-
E.
SE19
SE19 is a London postal district covering parts of Upper Norwood and surrounding areas in south-east London.
- 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: SE27 Triple: [Gipsy Hill, postcodeDistrict, SE27]
Generated description
SE27 is a postcode district in the London Borough of Lambeth, covering areas such as West Norwood and parts of Gipsy Hill in south London.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SE27 Target entity description: SE27 is a postcode district in the London Borough of Lambeth, covering areas such as West Norwood and parts of Gipsy Hill in south London.
-
A.
ME 27
ME 27 is a state highway in Maine that runs north–south, connecting coastal and central regions with the Canadian border.
-
B.
Sema
Sema is a Russian diminutive form of the male given name Semyon.
-
C.
E-27
E-27 is the station code assigned to one of the platforms or lines serving Tokyo’s major transit hub, Shinjuku Station.
-
D.
SECA
SECA refers to designated maritime zones where strict limits are imposed on the sulfur content of ship fuel to reduce air pollution and protect human health and the environment.
-
E.
SE19
SE19 is a London postal district covering parts of Upper Norwood and surrounding areas in south-east London.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064dba588190a4341775b472a6d3 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec889c3408190bdfc75ce72dd5a62 |
completed | May 9, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_69fec93109c08190a3499e4520e31604 |
completed | May 9, 2026, 5:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fecc6fa8f88190aa6956e6e2b1f8ab |
completed | May 9, 2026, 5:55 a.m. |
Created at: April 10, 2026, 3:08 a.m.