Triple
T28265265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comarnic |
E712683
|
entity |
| Predicate | belongsToDevelopmentRegion |
P190998
|
FINISHED |
| Object | Sud-Muntenia development region |
—
|
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: Sud-Muntenia development region | Statement: [Comarnic, belongsToDevelopmentRegion, Sud-Muntenia development region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToDevelopmentRegion Context triple: [Comarnic, belongsToDevelopmentRegion, Sud-Muntenia development region]
-
A.
developedInRegion
Indicates that something was created, produced, or brought into existence within a specified geographic region.
-
B.
isRegionOf
Indicates that one entity is a geographic or administrative region belonging to, contained within, or associated with another entity.
-
C.
isPartOfRegionType
Indicates that one region belongs to, or is classified under, a broader region type or category.
-
D.
belongsToDepartmentCapitalRegion
Indicates that an entity is part of, or administratively assigned to, the capital region of a department.
-
E.
hasSubregionRelationWith
Indicates a relationship where one region is a subregion or contained part of another region.
- F. None of above. chosen
Provenance (4 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_69efb5216c6881908020dce4aea65381 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
| PDg | Predicate description generation | batch_69fcd866dd248190bff61c43bee93f54 |
completed | May 7, 2026, 6:22 p.m. |
Created at: April 27, 2026, 11:14 p.m.