Triple
T17737840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pound Hill |
E442769
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Furnace Green |
—
|
NE NERFINISHED |
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: Furnace Green | Statement: [Pound Hill, adjacentTo, Furnace Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Furnace Green Context triple: [Pound Hill, adjacentTo, Furnace Green]
-
A.
Furnace Green
chosen
Furnace Green is a residential neighbourhood in the town of Crawley in West Sussex, England.
-
B.
The Golden Meadows
The Golden Meadows is a celebrated work of classical Arabic literature, renowned for its rich storytelling and cultural significance.
-
C.
The House of Blue Leaves
The House of Blue Leaves is a darkly comic play by John Guare that explores fame, madness, and unfulfilled dreams in 1960s Queens, New York.
-
D.
Blue of Noon
Blue of Noon is a transgressive novel by Georges Bataille that explores erotic obsession, political decay, and existential despair in pre–World War II Europe.
-
E.
The Green Place
The Green Place is a once-fertile, now-lost oasis homeland of the Vuvalini in the post-apocalyptic world of the film "Mad Max: Fury Road."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47aca27448190943c75e723ceefcc |
completed | April 19, 2026, 6:48 a.m. |
Created at: April 10, 2026, 10:09 a.m.