Triple
T17156213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dahod district |
E416348
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Fatepura
Fatepura is a town located in Dahod district in the eastern part of the Indian state of Gujarat.
|
E1252926
|
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: Fatepura | Statement: [Dahod district, hasTown, Fatepura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fatepura Context triple: [Dahod district, hasTown, Fatepura]
-
A.
Pavapuri
Pavapuri is a revered Jain pilgrimage site in Bihar, India, best known as the place where Mahavira, the 24th Tirthankara, attained nirvana.
-
B.
Elopura
Elopura is the former name of Sandakan, a major coastal town in Sabah, Malaysia, historically known as an important trading and administrative center in North Borneo.
-
C.
Eniwa
Eniwa is a city in Hokkaido, Japan, known for its natural scenery, parks, and proximity to Sapporo.
-
D.
Belpahar
Belpahar is a small industrial town in the Jharsuguda district of Odisha, India, known for its coal mining and related industries.
-
E.
Gohpur
Gohpur is a town in the Indian state of Assam, known for its historical significance in the Indian independence movement and its role as a local administrative and commercial center.
- 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: Fatepura Triple: [Dahod district, hasTown, Fatepura]
Generated description
Fatepura is a town located in Dahod district in the eastern part of the Indian state of Gujarat.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fatepura Target entity description: Fatepura is a town located in Dahod district in the eastern part of the Indian state of Gujarat.
-
A.
Pavapuri
Pavapuri is a revered Jain pilgrimage site in Bihar, India, best known as the place where Mahavira, the 24th Tirthankara, attained nirvana.
-
B.
Elopura
Elopura is the former name of Sandakan, a major coastal town in Sabah, Malaysia, historically known as an important trading and administrative center in North Borneo.
-
C.
Eniwa
Eniwa is a city in Hokkaido, Japan, known for its natural scenery, parks, and proximity to Sapporo.
-
D.
Belpahar
Belpahar is a small industrial town in the Jharsuguda district of Odisha, India, known for its coal mining and related industries.
-
E.
Gohpur
Gohpur is a town in the Indian state of Assam, known for its historical significance in the Indian independence movement and its role as a local administrative and commercial center.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f40b402881908b8c01d7b957d0d2 |
completed | April 18, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01415f3cd481908e96ca294cf3b247 |
completed | May 11, 2026, 2:39 a.m. |
| NEDg | Description generation | batch_6a01422c0f088190b162c7086bc93585 |
completed | May 11, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0142f274ec819081eb15a3ea0e1b13 |
completed | May 11, 2026, 2:46 a.m. |
Created at: April 10, 2026, 5:37 a.m.