Triple
T4585041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anadyr Urban Okrug |
E101946
|
entity |
| Predicate | hasCenterStatus |
P58138
|
FINISHED |
| Object | administrative center of the municipal formation is Anadyr |
—
|
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: administrative center of the municipal formation is Anadyr | Statement: [Anadyr Urban Okrug, hasCenterStatus, administrative center of the municipal formation is Anadyr]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCenterStatus Context triple: [Anadyr Urban Okrug, hasCenterStatus, administrative center of the municipal formation is Anadyr]
-
A.
hasCenterColor
Indicates that an entity possesses a central region whose color is specified or characterized.
-
B.
hasRAndDCenterIn
Indicates that an entity maintains a research and development (R&D) center located in a specified place.
-
C.
hasEarlyCenter
Indicates that an entity possesses or is associated with a primary focal point, hub, or center that occurs or is established earlier than others in time or sequence.
-
D.
hasCentralSpace
Indicates that an entity includes or is characterized by a primary, central area or space within its overall structure.
-
E.
hasScanningCenter
Indicates that an entity is associated with, or makes use of, a particular scanning center for scanning-related activities.
- 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_69bd43d4ce208190b53158c882b222e3 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59056bb48190ba1e0b5beda9bdc4 |
completed | March 20, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69bd522acbcc8190bf24d9517793a2c1 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56b4a9508190acdb888eef18f1ee |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:10 p.m.