Triple
T9970601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hartford neighborhoods |
E196192
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
South Green
South Green is a historic residential and commercial neighborhood located just south of downtown Hartford, Connecticut.
|
E831837
|
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: South Green | Statement: [Hartford neighborhoods, hasPart, South Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Green Context triple: [Hartford neighborhoods, hasPart, South Green]
-
A.
West Green
West Green is a residential neighbourhood within the town of Crawley in West Sussex, England.
-
B.
West Green
West Green is a residential neighborhood in the London district of Tottenham, known for its diverse community and urban character.
-
C.
Southfields
Southfields is a residential district in southwest London, England, known for its proximity to Wimbledon and its quiet, suburban character.
-
D.
Camberwell Green
Camberwell Green is a small public park and historic civic space in the district of Camberwell in south London.
-
E.
Islington Green
Islington Green is a small historic public park and open space in the London Borough of Islington, known as a local gathering spot surrounded by shops, cafes, and busy streets.
- 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: South Green Triple: [Hartford neighborhoods, hasPart, South Green]
Generated description
South Green is a historic residential and commercial neighborhood located just south of downtown Hartford, Connecticut.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: South Green Target entity description: South Green is a historic residential and commercial neighborhood located just south of downtown Hartford, Connecticut.
-
A.
West Green
West Green is a residential neighbourhood within the town of Crawley in West Sussex, England.
-
B.
West Green
West Green is a residential neighborhood in the London district of Tottenham, known for its diverse community and urban character.
-
C.
Southfields
Southfields is a residential district in southwest London, England, known for its proximity to Wimbledon and its quiet, suburban character.
-
D.
Camberwell Green
Camberwell Green is a small public park and historic civic space in the district of Camberwell in south London.
-
E.
Islington Green
Islington Green is a small historic public park and open space in the London Borough of Islington, known as a local gathering spot surrounded by shops, cafes, and busy streets.
- 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb7b96b1c8190b9d3c1171346615a |
completed | April 2, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23dca14d081909573e91a576921c9 |
completed | April 5, 2026, 10:47 a.m. |
| NEDg | Description generation | batch_69d23f63a0d08190a3ace2e4bb58a9ac |
completed | April 5, 2026, 10:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d23ff6fdc4819082d8d575a3901ea8 |
completed | April 5, 2026, 10:56 a.m. |
Created at: March 30, 2026, 8:48 p.m.