Triple
T10352485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesus Lane, Cambridge |
E243912
|
entity |
| Predicate | hasNearbyGreenSpace |
P33602
|
FINISHED |
| Object | Jesus Green |
E856966
|
NE FINISHED |
How this triple was built (2 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: Jesus Green | Statement: [Jesus Lane, Cambridge, hasNearbyGreenSpace, Jesus Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jesus Green Context triple: [Jesus Lane, Cambridge, hasNearbyGreenSpace, Jesus Green]
-
A.
Jesus Green
chosen
Jesus Green is a large riverside public park in central Cambridge, England, known for its open green space, mature trees, and historic outdoor swimming pool.
-
B.
Son Green
Son Green is a central character in the novel "Tar Baby" by Toni Morrison, representing complex themes of identity, race, and cultural conflict.
-
C.
Jack Green
Jack Green is an entrepreneur best known as a founder of the major American insurance company Progressive Corporation.
-
D.
Walon Green
Walon Green is an American screenwriter, producer, and director best known for his work on films like "The Wild Bunch" and television series such as "Law & Order" and "Hill Street Blues."
-
E.
Professor Green
Professor Green is a British rapper and songwriter known for his witty lyricism, chart-topping singles, and appearances on UK television.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e949b8e88190ad933399323aed73 |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7951e65948190a25e559ba94be3c7 |
completed | April 9, 2026, 12:01 p.m. |
Created at: April 6, 2026, 11:57 a.m.