Triple
T25607673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mynes |
E641956
|
entity |
| Predicate | capturedFromCity |
P17288
|
FINISHED |
| Object | Lyrnessus |
—
|
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: Lyrnessus | Statement: [Mynes, capturedFromCity, Lyrnessus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capturedFromCity Context triple: [Mynes, capturedFromCity, Lyrnessus]
-
A.
capturedPlace
Indicates that an agent took control of or seized a specific place, typically through force or strategic action.
-
B.
capturedFrom
chosen
Indicates that one entity has taken possession or control of another entity away from a specified source or previous holder.
-
C.
capitalOfProvinceCaptured
Indicates that a particular force or entity has taken control of the capital city of a specified province.
-
D.
countryWhoseCityWasCaptured
Indicates that a country is one whose city was captured, typically in a military or conflict-related context.
-
E.
provinceCaptured
Indicates that control or possession of a province has been taken from one party by another, typically through conquest or force.
- 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_69e75dc6ccf081908d49578fd36a76d5 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f9e0d2e88190b51e1eded1627f94 |
completed | May 2, 2026, 1:19 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 4:39 p.m.