Triple
T2101569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkic languages |
E37102
|
entity |
| Predicate | hasMajorLanguage |
P207
|
FINISHED |
| Object |
Shor
Shor is a Turkic language spoken primarily by the Shor people in southwestern Siberia, Russia.
|
E233988
|
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: Shor | Statement: [Turkic languages, hasMajorLanguage, Shor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shor Context triple: [Turkic languages, hasMajorLanguage, Shor]
-
A.
Rabin
Rabin is a surname most prominently associated with Yitzhak Rabin, the Israeli military leader, statesman, and Nobel Peace Prize–winning prime minister.
-
B.
Verily
Verily is a life sciences and healthcare technology company under Alphabet Inc. that focuses on using data and advanced tools to improve health outcomes.
-
C.
Shimon
Shimon is a given name most notably borne by Shimon Peres, the former President and Prime Minister of Israel and Nobel Peace Prize laureate.
-
D.
Hopper
Hopper is a surname most famously associated with Edward Hopper, the American realist painter known for his evocative depictions of modern urban life and isolation.
-
E.
Shan
The Shan are a Tai ethnic group primarily inhabiting Myanmar's Shan State, known for their distinct language, Buddhist traditions, and historical Shan principalities.
- 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: Shor Triple: [Turkic languages, hasMajorLanguage, Shor]
Generated description
Shor is a Turkic language spoken primarily by the Shor people in southwestern Siberia, Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shor Target entity description: Shor is a Turkic language spoken primarily by the Shor people in southwestern Siberia, Russia.
-
A.
Rabin
Rabin is a surname most prominently associated with Yitzhak Rabin, the Israeli military leader, statesman, and Nobel Peace Prize–winning prime minister.
-
B.
Verily
Verily is a life sciences and healthcare technology company under Alphabet Inc. that focuses on using data and advanced tools to improve health outcomes.
-
C.
Shimon
Shimon is a given name most notably borne by Shimon Peres, the former President and Prime Minister of Israel and Nobel Peace Prize laureate.
-
D.
Hopper
Hopper is a surname most famously associated with Edward Hopper, the American realist painter known for his evocative depictions of modern urban life and isolation.
-
E.
Shan
The Shan are a Tai ethnic group primarily inhabiting Myanmar's Shan State, known for their distinct language, Buddhist traditions, and historical Shan principalities.
- 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_69a8861828948190924aa30c08806b3a |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abbabc83a8819091f786f21d33b5a6 |
completed | March 7, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae3065f3588190bc483e07dda8cf71 |
completed | March 9, 2026, 2:28 a.m. |
| NEDg | Description generation | batch_69ae3106488c8190a044d843a10f531a |
completed | March 9, 2026, 2:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae31889bc0819092810ade1961d10e |
completed | March 9, 2026, 2:33 a.m. |
Created at: March 4, 2026, 7:43 p.m.