Triple
T6367963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jalgaon district |
E143273
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Parola
Parola is a small town in Maharashtra, India, known for its historical fort and location within the Jalgaon district.
|
E589081
|
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: Parola | Statement: [Jalgaon district, hasTown, Parola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parola Context triple: [Jalgaon district, hasTown, Parola]
-
A.
Slovo
Slovo is a surname most notably associated with South African anti-apartheid activist and politician Joe Slovo and his family.
-
B.
The Word
"The Word" is a soulful, gospel-influenced song by the Beatles from their 1965 album Rubber Soul, notable for its early exploration of love as a universal, almost spiritual message.
-
C.
The Words
The Words is a 2012 drama film about a struggling writer who achieves fame by passing off another man's manuscript as his own, exploring themes of authorship, guilt, and moral consequence.
-
D.
The Words
The Words is Jean-Paul Sartre’s autobiographical work in which he reflects on his childhood and the development of his literary and philosophical identity.
-
E.
Of Words
"Of Words" is a chapter in Book III that examines the nature, use, and significance of language and terminology.
- 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: Parola Triple: [Jalgaon district, hasTown, Parola]
Generated description
Parola is a small town in Maharashtra, India, known for its historical fort and location within the Jalgaon district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Parola Target entity description: Parola is a small town in Maharashtra, India, known for its historical fort and location within the Jalgaon district.
-
A.
Slovo
Slovo is a surname most notably associated with South African anti-apartheid activist and politician Joe Slovo and his family.
-
B.
The Word
"The Word" is a soulful, gospel-influenced song by the Beatles from their 1965 album Rubber Soul, notable for its early exploration of love as a universal, almost spiritual message.
-
C.
The Words
The Words is a 2012 drama film about a struggling writer who achieves fame by passing off another man's manuscript as his own, exploring themes of authorship, guilt, and moral consequence.
-
D.
The Words
The Words is Jean-Paul Sartre’s autobiographical work in which he reflects on his childhood and the development of his literary and philosophical identity.
-
E.
Of Words
"Of Words" is a chapter in Book III that examines the nature, use, and significance of language and terminology.
- 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_69c008d8c61081908bcaf61510d881ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c068251ae48190af8201d5f9ad35b6 |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d8689408190b334928df870ed29 |
completed | March 27, 2026, 7:11 a.m. |
| NEDg | Description generation | batch_69c6312d8a2c8190ad916969b0331170 |
completed | March 27, 2026, 7:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63185bf28819096e518e23362a701 |
completed | March 27, 2026, 7:28 a.m. |
Created at: March 22, 2026, 4:32 p.m.