Triple
T37780940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hont |
E941827
|
entity |
| Predicate | disestablishedAsCounty |
P52130
|
FINISHED |
| Object | 20th century |
—
|
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: 20th century | Statement: [Hont, disestablishedAsCounty, 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disestablishedAsCounty Context triple: [Hont, disestablishedAsCounty, 20th century]
-
A.
existedAsCountyUntil
chosen
Indicates that an entity functioned with the status or designation of a county up to a specified end date or time period.
-
B.
formerMunicipalityDisestablished
Indicates that a municipality, which previously existed as an administrative unit, was officially dissolved or ceased to exist at a specific point in time.
-
C.
disestablishedFor
Indicates that an organization, institution, or entity was formally dissolved, abolished, or ended for a specified reason or purpose.
-
D.
hasFormerCounty
Indicates that an entity was previously part of, or administered by, a particular county in the past but no longer is.
-
E.
usedAsCountyNameUntil
Indicates that an entity served as the official name of a county up to a specified point in time.
- 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_69f76ee5cb0c81909a363d1c929156c0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbb9e8108c8190ae1c7940b1677e95 |
completed | May 6, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fbb141605c8190b9c27d70352522db |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.