Triple
T16692824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tour Magne |
E405634
|
entity |
| Predicate | survivingPortionOf |
P47939
|
FINISHED |
| Object | ancient Roman fortifications of Nîmes |
—
|
LITERAL 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: ancient Roman fortifications of Nîmes | Statement: [Tour Magne, survivingPortionOf, ancient Roman fortifications of Nîmes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: survivingPortionOf Context triple: [Tour Magne, survivingPortionOf, ancient Roman fortifications of Nîmes]
-
A.
survivingPortions
chosen
Indicates that certain parts or segments of something remain intact or extant after other portions have been lost, destroyed, or removed.
-
B.
survivingFrom
Indicates that one entity continues to live, exist, or remain after another related entity has ended, disappeared, or ceased to exist.
-
C.
survivesBy
Indicates that one entity continues to live or exist after another entity has died or ceased to exist.
-
D.
survivesAs
Indicates that one entity continues to exist or persist in place of, or after the end or transformation of, another entity.
-
E.
survivesWith
Indicates that one entity continues to live, endure, or remain viable in the presence, context, or company of another entity.
- F. None of above.
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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37eaacb948190954231c9e97a4adf |
completed | April 18, 2026, 12:52 p.m. |
| PD | Predicate disambiguation | batch_69e319bc73908190a0e38bc926b31f10 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:19 a.m.