Triple
T2775065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samara Oblast |
E61547
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Oktyabrsk
Oktyabrsk is a small industrial city in Russia located on the Volga River within Samara Oblast.
|
E297416
|
NE FINISHED |
How this triple was built (4 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: Oktyabrsk | Statement: [Samara Oblast, hasCity, Oktyabrsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oktyabrsk Context triple: [Samara Oblast, hasCity, Oktyabrsk]
-
A.
Oktyabrskaya
Oktyabrskaya is a Moscow Metro station known for its distinctive Soviet-era architecture and role as a key transfer point in the city’s subway network.
-
B.
Oktoechos
Oktoechos is a liturgical system of eight musical modes used in Eastern Christian chant traditions.
-
C.
Noyemberyan
Noyemberyan is a small town in northeastern Armenia known for its mountainous surroundings and proximity to the Georgian border.
-
D.
Kislev
Kislev is a late autumn/early winter month in the Hebrew calendar traditionally associated with the festival of Hanukkah.
-
E.
Octobri Mense
Octobri Mense is an 1891 encyclical letter by Pope Leo XIII that emphasizes the importance of the Rosary and Marian devotion, particularly during the month of October.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Oktyabrsk Triple: [Samara Oblast, hasCity, Oktyabrsk]
Generated description
Oktyabrsk is a small industrial city in Russia located on the Volga River within Samara Oblast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oktyabrsk Target entity description: Oktyabrsk is a small industrial city in Russia located on the Volga River within Samara Oblast.
-
A.
Oktyabrskaya
Oktyabrskaya is a Moscow Metro station known for its distinctive Soviet-era architecture and role as a key transfer point in the city’s subway network.
-
B.
Oktoechos
Oktoechos is a liturgical system of eight musical modes used in Eastern Christian chant traditions.
-
C.
Noyemberyan
Noyemberyan is a small town in northeastern Armenia known for its mountainous surroundings and proximity to the Georgian border.
-
D.
Kislev
Kislev is a late autumn/early winter month in the Hebrew calendar traditionally associated with the festival of Hanukkah.
-
E.
Octobri Mense
Octobri Mense is an 1891 encyclical letter by Pope Leo XIII that emphasizes the importance of the Rosary and Marian devotion, particularly during the month of October.
- F. None of above. chosen
Provenance (5 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd7f9570819087f1b1cb59d68586 |
completed | March 7, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc058c8a48190bbd151251678b4ee |
completed | March 10, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69afc15513f48190a22f83571be2e0bd |
completed | March 10, 2026, 6:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc1c9440c8190abf9dc063109af45 |
completed | March 10, 2026, 7:01 a.m. |
Created at: March 6, 2026, 9:57 p.m.