Triple
T12920681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahal Region |
E309109
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Bäherden
Bäherden is a town in southern Turkmenistan that serves as a local administrative and economic center within the Ahal Region.
|
E1011689
|
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: Bäherden | Statement: [Ahal Region, containsCity, Bäherden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bäherden Context triple: [Ahal Region, containsCity, Bäherden]
-
A.
Baerl
Baerl is a district of the German city of Duisburg, located in the Homberg/Ruhrort/Baerl borough in North Rhine-Westphalia.
-
B.
Helfaut
Helfaut is a small commune in the Pas-de-Calais department in northern France, known for its rural character and proximity to the town of Saint-Omer.
-
C.
Heldrungen
Heldrungen is a small town in the German state of Thuringia, notable for its historic water castle and location near the confluence of the Unstrut and Wipper rivers.
-
D.
Burkardroth
Burkardroth is a municipality in the Bavarian district of Bad Kissingen in Germany, known for its rural character and location within the scenic Rhön region.
-
E.
Burgstaaken
Burgstaaken is a small harbour district and marina area on the island of Fehmarn in northern Germany, known for its fishing, tourism, and maritime activities.
- 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: Bäherden Triple: [Ahal Region, containsCity, Bäherden]
Generated description
Bäherden is a town in southern Turkmenistan that serves as a local administrative and economic center within the Ahal Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bäherden Target entity description: Bäherden is a town in southern Turkmenistan that serves as a local administrative and economic center within the Ahal Region.
-
A.
Baerl
Baerl is a district of the German city of Duisburg, located in the Homberg/Ruhrort/Baerl borough in North Rhine-Westphalia.
-
B.
Helfaut
Helfaut is a small commune in the Pas-de-Calais department in northern France, known for its rural character and proximity to the town of Saint-Omer.
-
C.
Heldrungen
Heldrungen is a small town in the German state of Thuringia, notable for its historic water castle and location near the confluence of the Unstrut and Wipper rivers.
-
D.
Burkardroth
Burkardroth is a municipality in the Bavarian district of Bad Kissingen in Germany, known for its rural character and location within the scenic Rhön region.
-
E.
Burgstaaken
Burgstaaken is a small harbour district and marina area on the island of Fehmarn in northern Germany, known for its fishing, tourism, and maritime activities.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971e7f6e881908c7bb12283898c80 |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af5ffcc48190bf93ce32e4aecfcd |
completed | May 3, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69f6b0653ef88190ad0e3a48675ecdcc |
completed | May 3, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b1a539148190be7a4f16f738ca90 |
completed | May 3, 2026, 2:23 a.m. |
Created at: April 9, 2026, 5:41 p.m.