Triple
T19285655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middle Temple Gardens |
E482302
|
entity |
| Predicate | withinDistrict |
P29284
|
FINISHED |
| Object | Temple |
—
|
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: Temple | Statement: [Middle Temple Gardens, withinDistrict, Temple]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Temple Context triple: [Middle Temple Gardens, withinDistrict, Temple]
-
A.
Temple
Temple is a mid-sized city in central Texas known as a regional medical and transportation hub.
-
B.
Temple
"Temple" is a British television drama series produced by Liza Marshall, centered on an underground clinic beneath London where a surgeon treats criminals and desperate patients.
-
C.
Temple
The Temple is a massive, ancient stone structure carved into a seaside cliff in Beach City that serves as the mystical home and base of operations for the Crystal Gems in the animated series "Steven Universe."
-
D.
Temple
chosen
Temple is a historic legal district in central London, renowned for housing the Inns of Court and many barristers’ chambers.
-
E.
Temple
Temple is a song featured on the soundtrack of the rhythm game Mechanical Bull.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc0152d48190b92272d4c7caa708 |
completed | April 20, 2026, 10:12 a.m. |
Created at: April 10, 2026, 1:30 p.m.