Triple
T20576253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neşri’s Cihannüma |
E505224
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object |
Neşri
Neşri was an Ottoman historian best known for his comprehensive chronicle "Cihannüma," which is a key source on early Ottoman history.
|
E1438397
|
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: Neşri | Statement: [Neşri’s Cihannüma, author, Neşri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neşri Context triple: [Neşri’s Cihannüma, author, Neşri]
-
A.
Rushan
Rushan is a county-level coastal city in eastern Shandong Province, China, known for its fishing industry, beaches, and marine-based economy.
-
B.
Shekini
Shekini is a popular Afrobeat/dancehall song by Nigerian music duo P-Square known for its energetic rhythm and club-friendly vibe.
-
C.
Noshaq
Noshaq is a prominent mountain in the Hindu Kush range, straddling the Afghanistan–Pakistan border and known as one of the region’s highest and most challenging peaks.
-
D.
Barshi
Barshi is a prominent town in Maharashtra, India, known for its historical temples and role as a local commercial and educational center within Solapur district.
-
E.
Yenisi
"Yenisi" is a poetry collection by influential Turkish poet Orhan Veli Kanık, reflecting his modernist, plain-language style.
- 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: Neşri Triple: [Neşri’s Cihannüma, author, Neşri]
Generated description
Neşri was an Ottoman historian best known for his comprehensive chronicle "Cihannüma," which is a key source on early Ottoman history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neşri Target entity description: Neşri was an Ottoman historian best known for his comprehensive chronicle "Cihannüma," which is a key source on early Ottoman history.
-
A.
Rushan
Rushan is a county-level coastal city in eastern Shandong Province, China, known for its fishing industry, beaches, and marine-based economy.
-
B.
Shekini
Shekini is a popular Afrobeat/dancehall song by Nigerian music duo P-Square known for its energetic rhythm and club-friendly vibe.
-
C.
Noshaq
Noshaq is a prominent mountain in the Hindu Kush range, straddling the Afghanistan–Pakistan border and known as one of the region’s highest and most challenging peaks.
-
D.
Barshi
Barshi is a prominent town in Maharashtra, India, known for its historical temples and role as a local commercial and educational center within Solapur district.
-
E.
Yenisi
"Yenisi" is a poetry collection by influential Turkish poet Orhan Veli Kanık, reflecting his modernist, plain-language style.
- 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a90af3608190955d2c7950726178 |
completed | April 20, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08ace8a1d881908a8b178308c7b202 |
completed | May 16, 2026, 5:44 p.m. |
| NEDg | Description generation | batch_6a08ad96b2a081908d32e335c5265eec |
completed | May 16, 2026, 5:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08ae19eca08190ada48b48105be62d |
completed | May 16, 2026, 5:49 p.m. |
Created at: April 16, 2026, 11:39 a.m.