Triple
T13293014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lebap Region |
E316604
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Sayat
Sayat is a town located in the Lebap Region of eastern Turkmenistan.
|
E1032751
|
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: Sayat | Statement: [Lebap Region, containsTown, Sayat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sayat Context triple: [Lebap Region, containsTown, Sayat]
-
A.
Sayat-Nova
Sayat-Nova was an 18th-century Armenian ashugh (troubadour poet and musician) renowned for his lyrical songs in Armenian, Georgian, and Azerbaijani that deeply influenced the literary and musical traditions of the Caucasus.
-
B.
Suyat
Suyat is a Filipino surname notably borne by civil rights activist Cecilia "Cissy" Suyat King, the wife of Martin Luther King Jr.
-
C.
Sigay
Sigay is a remote, mountainous municipality in Ilocos Sur, Philippines, known for its rugged terrain, waterfalls, and relatively undeveloped, rural character.
-
D.
Sa'ir
Sa'ir is a Palestinian town located in the southern West Bank, northeast of Hebron.
-
E.
Sahl
Sahl is the surname of Mort Sahl, a pioneering American political satirist and stand-up comedian known for his sharp, socially conscious humor.
- 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: Sayat Triple: [Lebap Region, containsTown, Sayat]
Generated description
Sayat is a town located in the Lebap Region of eastern Turkmenistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sayat Target entity description: Sayat is a town located in the Lebap Region of eastern Turkmenistan.
-
A.
Sayat-Nova
Sayat-Nova was an 18th-century Armenian ashugh (troubadour poet and musician) renowned for his lyrical songs in Armenian, Georgian, and Azerbaijani that deeply influenced the literary and musical traditions of the Caucasus.
-
B.
Suyat
Suyat is a Filipino surname notably borne by civil rights activist Cecilia "Cissy" Suyat King, the wife of Martin Luther King Jr.
-
C.
Sigay
Sigay is a remote, mountainous municipality in Ilocos Sur, Philippines, known for its rugged terrain, waterfalls, and relatively undeveloped, rural character.
-
D.
Sa'ir
Sa'ir is a Palestinian town located in the southern West Bank, northeast of Hebron.
-
E.
Sahl
Sahl is the surname of Mort Sahl, a pioneering American political satirist and stand-up comedian known for his sharp, socially conscious humor.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99078bcf0819083195fb556bcacb2 |
completed | April 11, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716d8ee2081908428339216c43b47 |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f717b7b6dc8190ab323c1926dd9adb |
completed | May 3, 2026, 9:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f718705a44819084b97d35a10ee50d |
completed | May 3, 2026, 9:42 a.m. |
Created at: April 9, 2026, 9:27 p.m.