Triple
T12310093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pune district |
E293453
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Daund
Daund is a town in the Indian state of Maharashtra known as a local commercial and transportation hub within the Pune region.
|
E974305
|
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: Daund | Statement: [Pune district, containsTown, Daund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daund Context triple: [Pune district, containsTown, Daund]
-
A.
Savogna d’Isonzo
Savogna d’Isonzo is a small municipality in northeastern Italy, near the border with Slovenia, known for its bilingual Italian-Slovene community and proximity to the Isonzo (Soča) River.
-
B.
Brunico
Brunico is a historic town and popular tourist center in northern Italy’s Alps, known for its medieval old town, castle, and proximity to the Dolomites.
-
C.
Morinj
Morinj is a small coastal village in Montenegro known for its scenic setting along the Bay of Kotor and its tranquil beaches.
-
D.
Trebižat
Trebižat is a karst river in Bosnia and Herzegovina known for its series of waterfalls and underground passages before joining the Neretva River.
-
E.
Brienno
Brienno is a small, picturesque village on the western shore of Lake Como in northern Italy, known for its historic stone houses and scenic lakeside setting.
- 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: Daund Triple: [Pune district, containsTown, Daund]
Generated description
Daund is a town in the Indian state of Maharashtra known as a local commercial and transportation hub within the Pune region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daund Target entity description: Daund is a town in the Indian state of Maharashtra known as a local commercial and transportation hub within the Pune region.
-
A.
Savogna d’Isonzo
Savogna d’Isonzo is a small municipality in northeastern Italy, near the border with Slovenia, known for its bilingual Italian-Slovene community and proximity to the Isonzo (Soča) River.
-
B.
Brunico
Brunico is a historic town and popular tourist center in northern Italy’s Alps, known for its medieval old town, castle, and proximity to the Dolomites.
-
C.
Morinj
Morinj is a small coastal village in Montenegro known for its scenic setting along the Bay of Kotor and its tranquil beaches.
-
D.
Trebižat
Trebižat is a karst river in Bosnia and Herzegovina known for its series of waterfalls and underground passages before joining the Neretva River.
-
E.
Brienno
Brienno is a small, picturesque village on the western shore of Lake Como in northern Italy, known for its historic stone houses and scenic lakeside setting.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f02c0508190b10c0627cdaaba76 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e84fa708190854afc6afd425fd7 |
completed | May 2, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69f61f5d746c8190b5b0edfc4832bc6c |
completed | May 2, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6203ef5008190af9103460b096cff |
completed | May 2, 2026, 4:03 p.m. |
Created at: April 8, 2026, 9:53 p.m.