Triple
T4572623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergiyev Posad |
E123068
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object |
Zagorsk
Zagorsk is the former Soviet-era name of the Russian town now known as Sergiyev Posad, a major center of Orthodox Christianity northeast of Moscow.
|
E454063
|
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: Zagorsk | Statement: [Sergiyev Posad, historicalName, Zagorsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zagorsk Context triple: [Sergiyev Posad, historicalName, Zagorsk]
-
A.
Perovo
Perovo is a Moscow Metro station serving the Kalininsko–Solntsevskaya Line in the Perovo District of eastern Moscow.
-
B.
Krasny Kut
Krasny Kut is a small town in southwestern Russia known as an administrative and agricultural center within the Saratov region.
-
C.
Gornji Grad
Gornji Grad is the historic upper town of Zagreb, known for its medieval streets, landmarks like St. Mark’s Church and the Stone Gate, and its role as the city’s political and cultural center.
-
D.
Znamensk
Znamensk is a closed town in southern Russia known primarily for serving the nearby Kapustin Yar military rocket launch and development site.
-
E.
Lazarevac
Lazarevac is a suburban municipality of Belgrade in central Serbia, known for its coal mining industry and the Kolubara coal basin.
- 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: Zagorsk Triple: [Sergiyev Posad, historicalName, Zagorsk]
Generated description
Zagorsk is the former Soviet-era name of the Russian town now known as Sergiyev Posad, a major center of Orthodox Christianity northeast of Moscow.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zagorsk Target entity description: Zagorsk is the former Soviet-era name of the Russian town now known as Sergiyev Posad, a major center of Orthodox Christianity northeast of Moscow.
-
A.
Perovo
Perovo is a Moscow Metro station serving the Kalininsko–Solntsevskaya Line in the Perovo District of eastern Moscow.
-
B.
Krasny Kut
Krasny Kut is a small town in southwestern Russia known as an administrative and agricultural center within the Saratov region.
-
C.
Gornji Grad
Gornji Grad is the historic upper town of Zagreb, known for its medieval streets, landmarks like St. Mark’s Church and the Stone Gate, and its role as the city’s political and cultural center.
-
D.
Znamensk
Znamensk is a closed town in southern Russia known primarily for serving the nearby Kapustin Yar military rocket launch and development site.
-
E.
Lazarevac
Lazarevac is a suburban municipality of Belgrade in central Serbia, known for its coal mining industry and the Kolubara coal basin.
- 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58c711408190a2b096daf57e6eac |
completed | March 20, 2026, 2:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdd3d709308190aeb6a71a9dabdd3c |
completed | March 20, 2026, 11:10 p.m. |
| NEDg | Description generation | batch_69bdd49a9b2081909843c6c53ee1cbdc |
completed | March 20, 2026, 11:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdd513d36c81909958dabb1acbe094 |
completed | March 20, 2026, 11:15 p.m. |
Created at: March 20, 2026, 1:10 p.m.