Triple
T5966676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khandesh |
E132769
|
entity |
| Predicate | historicalCapital |
P2536
|
FINISHED |
| Object |
Thalner
Thalner is an ancient town in Maharashtra, India, known for its historical significance as an early political and cultural center in the Khandesh region.
|
E559342
|
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: Thalner | Statement: [Khandesh, historicalCapital, Thalner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thalner Context triple: [Khandesh, historicalCapital, Thalner]
-
A.
Thal
Thal is a small municipality in the Austrian state of Styria, best known as the birthplace of actor and former California governor Arnold Schwarzenegger.
-
B.
Thal
Thal is a small scenic town in Pakistan’s Upper Dir District that serves as a gateway and base for travelers heading into the Kumrat Valley.
-
C.
Bladon
Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
-
D.
Thann
Thann is a small historic town in northeastern France, located at the foot of the Vosges mountains in the Haut-Rhin department of Alsace.
-
E.
Talbach
Talbach is a small stream in Switzerland that serves as a tributary of the Ergolz River in the Basel-Landschaft region.
- 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: Thalner Triple: [Khandesh, historicalCapital, Thalner]
Generated description
Thalner is an ancient town in Maharashtra, India, known for its historical significance as an early political and cultural center in the Khandesh region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thalner Target entity description: Thalner is an ancient town in Maharashtra, India, known for its historical significance as an early political and cultural center in the Khandesh region.
-
A.
Thal
Thal is a small municipality in the Austrian state of Styria, best known as the birthplace of actor and former California governor Arnold Schwarzenegger.
-
B.
Thal
Thal is a small scenic town in Pakistan’s Upper Dir District that serves as a gateway and base for travelers heading into the Kumrat Valley.
-
C.
Bladon
Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
-
D.
Thann
Thann is a small historic town in northeastern France, located at the foot of the Vosges mountains in the Haut-Rhin department of Alsace.
-
E.
Talbach
Talbach is a small stream in Switzerland that serves as a tributary of the Ergolz River in the Basel-Landschaft region.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03a3e06848190b1d1a191db257a07 |
completed | March 22, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3ff62f08190be56bb9c450c9647 |
completed | March 23, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69c0f61d80808190913b425c3c57f990 |
completed | March 23, 2026, 8:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0f6a75b908190b35d13b9593cf21f |
completed | March 23, 2026, 8:15 a.m. |
Created at: March 22, 2026, 4:03 p.m.