Triple
T23819963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Székely Land |
E589204
|
entity |
| Predicate | currentAdministrativeRegionIncludes |
P61858
|
FINISHED |
| Object | Harghita 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: Harghita County | Statement: [Székely Land, currentAdministrativeRegionIncludes, Harghita County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentAdministrativeRegionIncludes Context triple: [Székely Land, currentAdministrativeRegionIncludes, Harghita County]
-
A.
administrativeRegionCountry
Indicates that an administrative region is located within or belongs to a specific country.
-
B.
administrativeCenterRegion
Indicates that a region serves as the administrative center or seat of government for another territorial unit.
-
C.
associatedAdministrativeRegion
chosen
Indicates that an entity is linked to, or falls under the jurisdiction of, a particular administrative region.
-
D.
hasAdministrativeArea
Indicates that one entity serves as the governing or jurisdictional area responsible for administering another entity.
-
E.
countryOrRegion
Indicates that one entity is a country or geographic region associated with another entity (such as its location, jurisdiction, or area of relevance).
- 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_69e25d18619081909c7fb89d8926f14a |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c7ae4f8c8190a92621861cbae2f4 |
completed | April 29, 2026, 8:56 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:59 p.m.