Triple
T20737112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Obluchensky District |
E509739
|
entity |
| Predicate | hasUrbanTypeSettlement |
P40854
|
FINISHED |
| Object |
Bira
Bira is an urban-type settlement in Obluchensky District of the Jewish Autonomous Oblast in Russia.
|
E1448526
|
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: Bira | Statement: [Obluchensky District, hasUrbanTypeSettlement, Bira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bira Context triple: [Obluchensky District, hasUrbanTypeSettlement, Bira]
-
A.
Bira
Bira is a coastal village in South Sulawesi, Indonesia, renowned as a traditional boatbuilding center where skilled craftsmen construct the iconic wooden pinisi sailing ships.
-
B.
Bottidda
Bottidda is a small municipality in the historical Logudoro region of central-northern Sardinia, Italy.
-
C.
Bica
Bica is a party involved in the U.S. Supreme Court case De Canas v. Bica, which addressed state authority over the employment of undocumented immigrants.
-
D.
Bica
Bica is a historic Lisbon neighborhood known for its steep streets, traditional houses, and the iconic Elevador da Bica funicular.
-
E.
Biga
Biga is a town and district in Turkey’s Çanakkale Province, known for its agricultural economy and location near the Marmara Sea.
- 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: Bira Triple: [Obluchensky District, hasUrbanTypeSettlement, Bira]
Generated description
Bira is an urban-type settlement in Obluchensky District of the Jewish Autonomous Oblast in Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bira Target entity description: Bira is an urban-type settlement in Obluchensky District of the Jewish Autonomous Oblast in Russia.
-
A.
Bira
Bira is a coastal village in South Sulawesi, Indonesia, renowned as a traditional boatbuilding center where skilled craftsmen construct the iconic wooden pinisi sailing ships.
-
B.
Bottidda
Bottidda is a small municipality in the historical Logudoro region of central-northern Sardinia, Italy.
-
C.
Bica
Bica is a party involved in the U.S. Supreme Court case De Canas v. Bica, which addressed state authority over the employment of undocumented immigrants.
-
D.
Bica
Bica is a historic Lisbon neighborhood known for its steep streets, traditional houses, and the iconic Elevador da Bica funicular.
-
E.
Biga
Biga is a town and district in Turkey’s Çanakkale Province, known for its agricultural economy and location near the Marmara Sea.
- 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c20ac6e881908524be890be699e7 |
completed | April 21, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08e8378f988190916d497b136ffcf1 |
completed | May 16, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_6a08e8fc1d6c819083f06debaa3bec24 |
completed | May 16, 2026, 10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08e98a594c8190b3a2d9ae7e3af4f7 |
completed | May 16, 2026, 10:02 p.m. |
Created at: April 16, 2026, 12:32 p.m.