Triple
T27361680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gran |
E685842
|
entity |
| Predicate | referentIsPartOf |
P146375
|
FINISHED |
| Object | Komárom-Esztergom County |
—
|
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: Komárom-Esztergom County | Statement: [Gran, referentIsPartOf, Komárom-Esztergom County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referentIsPartOf Context triple: [Gran, referentIsPartOf, Komárom-Esztergom County]
-
A.
isOnlyPartOf
Indicates that an entity is a component exclusively of a specific whole and not of any other whole.
-
B.
containedPartOf
chosen
Indicates that one entity is physically or logically included within and forms a part of another entity.
-
C.
hasPartIn
Indicates that an entity participates in or plays a role within a larger event, process, or composite entity.
-
D.
deltaPartOf
Indicates that one entity represents a changed, differing, or modified portion of another entity, rather than the whole.
-
E.
partlyConsistsOf
Indicates that one entity is composed in part, but not entirely, 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_69ef14887c288190931b8431fdbf53c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 27, 2026, 11:54 a.m.