Triple
T15147649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agia municipality |
E361855
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Anatoli
Anatoli is a small village in Greece that forms part of the Agia municipality in the regional unit of Larissa.
|
E1140856
|
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: Anatoli | Statement: [Agia municipality, containsSettlement, Anatoli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anatoli Context triple: [Agia municipality, containsSettlement, Anatoli]
-
A.
Yuryatin
Yuryatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Lara Antipova’s story.
-
B.
Anatoly
Anatoly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
-
C.
Khokhlov
Khokhlov is a Russian surname commonly found in Eastern Europe, typically indicating Slavic heritage.
-
D.
Shchusev
Shchusev is a Russian surname most notably associated with Alexey Shchusev, a prominent Soviet architect known for designing Lenin's Mausoleum in Moscow.
-
E.
Vyazemsky
Vyazemsky is a small town in Russia’s Far Eastern Federal District, serving as an administrative center within Khabarovsk Krai.
- 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: Anatoli Triple: [Agia municipality, containsSettlement, Anatoli]
Generated description
Anatoli is a small village in Greece that forms part of the Agia municipality in the regional unit of Larissa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anatoli Target entity description: Anatoli is a small village in Greece that forms part of the Agia municipality in the regional unit of Larissa.
-
A.
Yuryatin
Yuryatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Lara Antipova’s story.
-
B.
Anatoly
Anatoly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
-
C.
Khokhlov
Khokhlov is a Russian surname commonly found in Eastern Europe, typically indicating Slavic heritage.
-
D.
Shchusev
Shchusev is a Russian surname most notably associated with Alexey Shchusev, a prominent Soviet architect known for designing Lenin's Mausoleum in Moscow.
-
E.
Vyazemsky
Vyazemsky is a small town in Russia’s Far Eastern Federal District, serving as an administrative center within Khabarovsk Krai.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c825a481909d00098b0e743365 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febff281848190a094bd697b19aaf3 |
completed | May 9, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_69fec3becbe08190a3a3517830cef461 |
completed | May 9, 2026, 5:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fec41e15d48190a44ddf901fdcca3e |
completed | May 9, 2026, 5:20 a.m. |
Created at: April 10, 2026, 3:07 a.m.