Triple
T4015458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Economic Region of Russia |
E90744
|
entity |
| Predicate | includesMajorCity |
P316
|
FINISHED |
| Object | Tula |
E111344
|
NE 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: Tula | Statement: [Central Economic Region of Russia, includesMajorCity, Tula]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tula Context triple: [Central Economic Region of Russia, includesMajorCity, Tula]
-
A.
Tula
chosen
Tula is a historic Russian city south of Moscow, known for its metalworking, samovar production, and as a cultural center near Leo Tolstoy’s estate at Yasnaya Polyana.
-
B.
Tula
Tula is an important ancient Mesoamerican city, once a major Toltec capital known for its monumental architecture and iconic stone warrior statues.
-
C.
Tula
Tula is the birth name of American actress and dancer Cyd Charisse, famed for her roles in classic Hollywood musicals.
-
D.
Tenosique
Tenosique is a municipality and city in southeastern Mexico known for its location in the state of Tabasco near the Guatemalan border and along key migration routes.
-
E.
Sabinas
Sabinas is a municipality and city in the northern Mexican state of Coahuila, known historically for its coal mining and regional agricultural activities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69aed95e44088190aff7d90a151b1b20 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaa7352481908232534c89a698e7 |
completed | March 9, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c768e5481908b184332e3c73588 |
completed | March 14, 2026, 11:54 a.m. |
Created at: March 9, 2026, 3:35 p.m.