Triple
T32220310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MC |
E823045
|
entity |
| Predicate | hasPrincipalDistrict |
P167404
|
FINISHED |
| Object | Monte Carlo |
—
|
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: Monte Carlo | Statement: [MC, hasPrincipalDistrict, Monte Carlo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrincipalDistrict Context triple: [MC, hasPrincipalDistrict, Monte Carlo]
-
A.
hasLocalDistrict
Indicates that an entity is associated with or falls under the jurisdiction of a specific local administrative district.
-
B.
isMainDistrictOf
chosen
Indicates that a district serves as the primary or central administrative district of a specified larger area or jurisdiction.
-
C.
hasMunicipalDistrict
Indicates that an administrative entity includes or is divided into one or more municipal districts as its subordinate units.
-
D.
occursInDistrict
Indicates that an event or activity takes place within the boundaries of a specific district.
-
E.
basedInDistrict
Indicates that an entity is located or has its primary base of operations within a specific administrative district.
- 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_69f3490b4f948190b99e4f999f5be25f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a00b3d2e0c88190a8bf49576e654f64 |
completed | May 10, 2026, 4:35 p.m. |
| PD | Predicate disambiguation | batch_6a00b376f4e48190a6676779fe02ea9f |
completed | May 10, 2026, 4:33 p.m. |
Created at: May 1, 2026, 12:38 a.m.