Triple
T37371264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilna |
E927848
|
entity |
| Predicate | referentWasPartOf |
P29195
|
FINISHED |
| Object | Grand Duchy of Lithuania |
—
|
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: Grand Duchy of Lithuania | Statement: [Wilna, referentWasPartOf, Grand Duchy of Lithuania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referentWasPartOf Context triple: [Wilna, referentWasPartOf, Grand Duchy of Lithuania]
-
A.
usedToBePartOf
chosen
Indicates that an entity was formerly a component or member of another entity but is no longer part of it.
-
B.
containedPartOf
Indicates that one entity is physically or logically included within and forms a part of another entity.
-
C.
structurePartOf
Indicates that one structure is a constituent or component of a larger, encompassing structure.
-
D.
hasPartIn
Indicates that an entity participates in or plays a role within a larger event, process, or composite entity.
-
E.
oftenPartOf
Indicates that one entity frequently occurs as a component or subset within another entity, though not necessarily always.
- 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_69f76eb820248190a5c395ca50ad002a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fed83b1d188190a318b0ad3003200a |
completed | May 9, 2026, 6:46 a.m. |
| PD | Predicate disambiguation | batch_69fed78e03548190b6e6ad93ae8d131d |
completed | May 9, 2026, 6:43 a.m. |
Created at: May 3, 2026, 4:16 p.m.