Triple
T18169996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palmerston |
E434998
|
entity |
| Predicate | familyName |
P18
|
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: [Palmerston, familyName, Temple]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Temple Context triple: [Palmerston, familyName, 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 Paris Métro station in central Paris, serving line 3 near the Place de la République.
-
C.
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.
-
D.
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."
-
E.
Temple
chosen
Temple is a small historic village and parish in Midlothian, Scotland, traditionally associated with the medieval Knights Templar.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df555af081908a2f12bce6a13f56 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 10:30 a.m.