Triple
T25418317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Szczucin |
E636907
|
entity |
| Predicate | regainedTownRightsIn |
P102909
|
FINISHED |
| Object | 1996 |
—
|
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: 1996 | Statement: [Szczucin, regainedTownRightsIn, 1996]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regainedTownRightsIn Context triple: [Szczucin, regainedTownRightsIn, 1996]
-
A.
lostTownRights
Indicates that a settlement or locality has had its official town rights or municipal status revoked or removed.
-
B.
grantedTownRights
Indicates that an authority formally conferred municipal or town privileges and legal status upon a settlement.
-
C.
recoveredTownStatusIn
chosen
Indicates that an entity has regained its status as a town within a specified jurisdiction or time period.
-
D.
regainedTitleFrom
Indicates that an entity has recovered a previously held title or position from another entity who had taken or held it in the interim.
-
E.
citizenshipRestored
Indicates that an individual's previously lost or revoked citizenship has been officially reinstated by the relevant authority.
- 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_69e75db4135881909acc287ebcb7a505 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5b013596c81909af7acebfc72bfc6 |
completed | May 2, 2026, 8:04 a.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
Created at: April 21, 2026, 1:55 p.m.