Triple
T14403366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Saybrook South Green Historic District |
E357128
|
entity |
| Predicate | hasCentralFeature |
P642
|
FINISHED |
| Object |
South Green
South Green is a historic central town green in Old Saybrook, Connecticut, around which the Old Saybrook South Green Historic District is organized.
|
E1097427
|
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: [Old Saybrook South Green Historic District, hasCentralFeature, South Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Green Context triple: [Old Saybrook South Green Historic District, hasCentralFeature, South Green]
-
A.
South Green
South Green is a historic residential and commercial neighborhood located just south of downtown Hartford, Connecticut.
-
B.
West Green
West Green is a residential neighbourhood within the town of Crawley in West Sussex, England.
-
C.
West Green
West Green is a residential neighborhood in the London district of Tottenham, known for its diverse community and urban character.
-
D.
Southfields
Southfields is a residential district in southwest London, England, known for its proximity to Wimbledon and its quiet, suburban character.
-
E.
Camberwell Green
Camberwell Green is a small public park and historic civic space in the district of Camberwell in south 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: South Green Triple: [Old Saybrook South Green Historic District, hasCentralFeature, South Green]
Generated description
South Green is a historic central town green in Old Saybrook, Connecticut, around which the Old Saybrook South Green Historic District is organized.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: South Green Target entity description: South Green is a historic central town green in Old Saybrook, Connecticut, around which the Old Saybrook South Green Historic District is organized.
-
A.
South Green
South Green is a historic residential and commercial neighborhood located just south of downtown Hartford, Connecticut.
-
B.
West Green
West Green is a residential neighbourhood within the town of Crawley in West Sussex, England.
-
C.
West Green
West Green is a residential neighborhood in the London district of Tottenham, known for its diverse community and urban character.
-
D.
Southfields
Southfields is a residential district in southwest London, England, known for its proximity to Wimbledon and its quiet, suburban character.
-
E.
Camberwell Green
Camberwell Green is a small public park and historic civic space in the district of Camberwell in south 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90860ae481908e175decda8624d5 |
completed | April 14, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5520c07c8190bfdaf224dd779ced |
completed | May 8, 2026, 3:14 a.m. |
| NEDg | Description generation | batch_69fd56bbd6e481909fd97f3808bc99fd |
completed | May 8, 2026, 3:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5755156c8190bc27df83e940c403 |
completed | May 8, 2026, 3:24 a.m. |
Created at: April 10, 2026, 1:17 a.m.