Triple
T5991010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King’s College Bridge |
E133348
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | The Backs |
E9255
|
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: The Backs | Statement: [King’s College Bridge, partOf, The Backs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Backs Context triple: [King’s College Bridge, partOf, The Backs]
-
A.
The Backs
chosen
The Backs is a picturesque area in Cambridge where several historic college buildings back onto landscaped gardens along the River Cam.
-
B.
Teardrop Park
Teardrop Park is a landscaped public park in Manhattan’s Battery Park City known for its dramatic rock formations, water features, and family-friendly play areas.
-
C.
Hillside
Hillside is the former Concord, Massachusetts home of author Nathaniel Hawthorne, now a historic site known as The Wayside.
-
D.
Hillside
Hillside is a neighboring area or locality situated next to Elizabeth, likely forming part of the same regional community.
-
E.
Hillside
Hillside is a small village in the Angus council area of eastern Scotland, known for its rural setting near the town of Montrose.
- 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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc8ab648190beb1bc141796894e |
completed | March 22, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c10861c0bc8190b6290d7363f4264a |
completed | March 23, 2026, 9:31 a.m. |
Created at: March 22, 2026, 4:05 p.m.