Triple
T9586833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avon Gorge |
E231311
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Leigh Woods |
E570872
|
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: Leigh Woods | Statement: [Avon Gorge, near, Leigh Woods]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leigh Woods Context triple: [Avon Gorge, near, Leigh Woods]
-
A.
Leigh Woods
chosen
Leigh Woods is a wooded area and affluent residential suburb on the outskirts of Bristol, England, known for its scenic nature reserve overlooking the Avon Gorge.
-
B.
Leigh Gill
Leigh Gill is a British actor known for his roles in film and television, including a notable appearance in the 2019 psychological thriller "Joker."
-
C.
Leigh Blake
Leigh Blake is a humanitarian activist and co-founder of the AIDS charity Keep a Child Alive, known for her work supporting children and families affected by HIV/AIDS in Africa and India.
-
D.
Chris Woods
Chris Woods is an investigative journalist known for his in-depth reporting on military affairs, drone warfare, and civilian casualties in conflict zones.
-
E.
Tony Woodley
Tony Woodley is a British trade union leader best known for heading one of the UK’s largest unions and playing a prominent role in labor and political campaigns.
- 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_69ca848161688190a68d514a0a9d5129 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99eed8288190b74de991bb55b15b |
completed | April 1, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1618251c48190886190975dfde5ac |
completed | April 4, 2026, 7:07 p.m. |
Created at: March 30, 2026, 8:06 p.m.