Triple
T25734812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siege of Maubeuge |
E645345
|
entity |
| Predicate | countryOfFortress |
P177282
|
FINISHED |
| Object | France |
—
|
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: France | Statement: [Siege of Maubeuge, countryOfFortress, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfFortress Context triple: [Siege of Maubeuge, countryOfFortress, France]
-
A.
fortressOriginallyBuiltBy
Indicates that a particular fortress was initially constructed by a specified builder or group.
-
B.
fortificationsLaterControlledBy
Indicates that control over certain fortifications passed to a different entity at a later time.
-
C.
countryOfGarrison
Indicates the country in which a military unit, base, or garrison is stationed or based.
-
D.
capitalCountry
Indicates that one place serves as the capital city of a given country.
-
E.
countryOfDefender
Indicates the country to which the defending party or entity in a conflict, dispute, or legal case belongs.
- F. None of above. chosen
Provenance (4 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_69e77e85254081908d79ee4e8715f283 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6fb93224881908fc66fe76115fcdb |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fb17d5ec81909091e37e1ddbe577 |
completed | May 3, 2026, 7:36 a.m. |
Created at: April 21, 2026, 11:22 p.m.