Triple
T9054455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeugitana |
E216962
|
entity |
| Predicate | underRomanRuleUntil |
P22322
|
FINISHED |
| Object | late antiquity |
—
|
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: late antiquity | Statement: [Zeugitana, underRomanRuleUntil, late antiquity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: underRomanRuleUntil Context triple: [Zeugitana, underRomanRuleUntil, late antiquity]
-
A.
underRomanRule
chosen
Indicates that one entity was politically controlled or governed by the Roman state or its authorities.
-
B.
romanRuleEnded
Indicates that a period of Roman political or administrative control over a place or people has come to an end.
-
C.
postRomanSuccessor
Indicates that one entity serves as the political or cultural successor to another entity following the end of Roman rule.
-
D.
usedInRomanPeriodFor
Indicates that something served a particular function, purpose, or application during the Roman period.
-
E.
usesRomanNumerals
Indicates that something represents numbers or sequences using the Roman numeral system rather than standard Arabic digits.
- 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7a72e2dc8190a16deff8abe701b1 |
completed | April 1, 2026, 1:52 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee6d83c819095d8ed0779aa8511 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:10 p.m.