Triple
T22862256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pazardzhik Municipality |
E566956
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Yasen
Yasen is a small settlement located within Pazardzhik Municipality in southern Bulgaria.
|
E1559382
|
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: Yasen | Statement: [Pazardzhik Municipality, containsSettlement, Yasen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yasen Context triple: [Pazardzhik Municipality, containsSettlement, Yasen]
-
A.
Nagatinskaya
Nagatinskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the Nagatinsky Zaton area of southern Moscow.
-
B.
Iljinia
Iljinia is a small genus of flowering plants in the amaranth family, known from arid and saline habitats of Eurasia.
-
C.
Yura
Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
-
D.
Timiryazevskaya
Timiryazevskaya is a Moscow Metro station serving the northern part of the city on the Serpukhovsko–Timiryazevskaya Line.
-
E.
Krasnaya Rechka
Krasnaya Rechka is an archaeological site in Kyrgyzstan that preserves the remains of an ancient Silk Road city, including fortifications, religious buildings, and urban quarters.
- 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: Yasen Triple: [Pazardzhik Municipality, containsSettlement, Yasen]
Generated description
Yasen is a small settlement located within Pazardzhik Municipality in southern Bulgaria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yasen Target entity description: Yasen is a small settlement located within Pazardzhik Municipality in southern Bulgaria.
-
A.
Nagatinskaya
Nagatinskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the Nagatinsky Zaton area of southern Moscow.
-
B.
Iljinia
Iljinia is a small genus of flowering plants in the amaranth family, known from arid and saline habitats of Eurasia.
-
C.
Yura
Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
-
D.
Timiryazevskaya
Timiryazevskaya is a Moscow Metro station serving the northern part of the city on the Serpukhovsko–Timiryazevskaya Line.
-
E.
Krasnaya Rechka
Krasnaya Rechka is an archaeological site in Kyrgyzstan that preserves the remains of an ancient Silk Road city, including fortifications, religious buildings, and urban quarters.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17efdc3b08190be03d856aa86b277 |
completed | April 29, 2026, 3:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bae8f6a0c81908a048ccb018d7fb6 |
completed | May 19, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_6a0bb0fb8a3c8190b3610333b583c8ba |
completed | May 19, 2026, 12:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bb169004481909e01438e04557f21 |
completed | May 19, 2026, 12:40 a.m. |
Created at: April 17, 2026, 3:37 p.m.