Triple
T3723614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baku |
E81696
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Icherisheher
Icherisheher is the historic walled old town of Baku, Azerbaijan, known for its medieval architecture and UNESCO World Heritage status.
|
E384412
|
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: Icherisheher | Statement: [Baku, contains, Icherisheher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Icherisheher Context triple: [Baku, contains, Icherisheher]
-
A.
Sarakhs
Sarakhs is a historic border city in northeastern Iran, known for its strategic location along ancient trade routes between Iran and Central Asia.
-
B.
Bakhchisaray
Bakhchisaray is a historic town in Crimea known for its former role as the capital of the Crimean Khanate and its notable architectural and cultural heritage.
-
C.
Urgench
Urgench is a city in western Uzbekistan that serves as the administrative center of Khorezm Region and a gateway to the historic city of Khiva.
-
D.
Buynaksk
Buynaksk is a significant urban center in the Republic of Dagestan in southern Russia, known for its strategic location in the North Caucasus region.
-
E.
Shuakhevi
Shuakhevi is a small town and municipality in the mountainous region of Adjara in southwestern Georgia.
- 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: Icherisheher Triple: [Baku, contains, Icherisheher]
Generated description
Icherisheher is the historic walled old town of Baku, Azerbaijan, known for its medieval architecture and UNESCO World Heritage status.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Icherisheher Target entity description: Icherisheher is the historic walled old town of Baku, Azerbaijan, known for its medieval architecture and UNESCO World Heritage status.
-
A.
Sarakhs
Sarakhs is a historic border city in northeastern Iran, known for its strategic location along ancient trade routes between Iran and Central Asia.
-
B.
Bakhchisaray
Bakhchisaray is a historic town in Crimea known for its former role as the capital of the Crimean Khanate and its notable architectural and cultural heritage.
-
C.
Urgench
Urgench is a city in western Uzbekistan that serves as the administrative center of Khorezm Region and a gateway to the historic city of Khiva.
-
D.
Buynaksk
Buynaksk is a significant urban center in the Republic of Dagestan in southern Russia, known for its strategic location in the North Caucasus region.
-
E.
Shuakhevi
Shuakhevi is a small town and municipality in the mountainous region of Adjara in southwestern Georgia.
- 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcaf3f2ec8190a3a8f363cfb762f3 |
completed | March 8, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db0e40b08190abacdda42dbde411 |
completed | March 14, 2026, 3:50 a.m. |
| NEDg | Description generation | batch_69b4dc80efe88190b837963691800d0c |
completed | March 14, 2026, 3:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4dce9f7f0819098aafe82c27ad851 |
completed | March 14, 2026, 3:58 a.m. |
Created at: March 8, 2026, 3:34 p.m.