Triple
T36397628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sombra Township |
E896527
|
entity |
| Predicate | formerMunicipalType |
P108771
|
FINISHED |
| Object | rural township |
—
|
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: rural township | Statement: [Sombra Township, formerMunicipalType, rural township]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerMunicipalType Context triple: [Sombra Township, formerMunicipalType, rural township]
-
A.
formerMunicipalityType
chosen
Indicates that an entity was previously classified as a specific type of municipality but no longer holds that municipal status.
-
B.
formerMunicipalityOf
Indicates that an entity was previously an independent municipality that has since been merged into or replaced by the referenced municipality.
-
C.
containsFormerMunicipality
Indicates that an administrative unit includes within its boundaries an area that was previously an independent municipality.
-
D.
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.
-
E.
subdivisionTypeBeforeReform
Indicates the type or category of an administrative subdivision as it existed prior to a specific reform or reorganization.
- 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_69f76e53b81081908d3b81860593f38a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a00a15604fc8190b1c280794960f3a4 |
completed | May 10, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_6a00a0f7e77881909ac85755ab0e6329 |
completed | May 10, 2026, 3:15 p.m. |
Created at: May 3, 2026, 4:10 p.m.