Triple
T8002400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mumbai Metropolitan Region |
E186280
|
entity |
| Predicate | includesCity |
P3207
|
FINISHED |
| Object |
Karjat
Karjat is a town in Maharashtra, India, known as a scenic weekend getaway and trekking hub in the Western Ghats, popular for its waterfalls, forts, and proximity to Mumbai and Pune.
|
E704185
|
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: Karjat | Statement: [Mumbai Metropolitan Region, includesCity, Karjat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karjat Context triple: [Mumbai Metropolitan Region, includesCity, Karjat]
-
A.
Karinska
Karinska was a renowned 20th-century costume designer best known for her influential work in ballet and theater, particularly with the New York City Ballet.
-
B.
Kataja
Kataja is a short form or nickname of the female given name Katarina.
-
C.
Karesi
Karesi is a central district and municipality of Balıkesir in western Turkey, known for its role as an administrative and commercial hub of the province.
-
D.
Lieksa
Lieksa is a small town and municipality in eastern Finland known for its forests, lakes, and proximity to Koli National Park.
-
E.
Jakusko
Jakusko is a local government area in northeastern Nigeria known for its rural communities and location within Yobe State.
- 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: Karjat Triple: [Mumbai Metropolitan Region, includesCity, Karjat]
Generated description
Karjat is a town in Maharashtra, India, known as a scenic weekend getaway and trekking hub in the Western Ghats, popular for its waterfalls, forts, and proximity to Mumbai and Pune.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karjat Target entity description: Karjat is a town in Maharashtra, India, known as a scenic weekend getaway and trekking hub in the Western Ghats, popular for its waterfalls, forts, and proximity to Mumbai and Pune.
-
A.
Karinska
Karinska was a renowned 20th-century costume designer best known for her influential work in ballet and theater, particularly with the New York City Ballet.
-
B.
Kataja
Kataja is a short form or nickname of the female given name Katarina.
-
C.
Karesi
Karesi is a central district and municipality of Balıkesir in western Turkey, known for its role as an administrative and commercial hub of the province.
-
D.
Lieksa
Lieksa is a small town and municipality in eastern Finland known for its forests, lakes, and proximity to Koli National Park.
-
E.
Jakusko
Jakusko is a local government area in northeastern Nigeria known for its rural communities and location within Yobe State.
- 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_69ca82aaaf24819084b94d18f699ba53 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3cf2918081909ee0afab11caed63 |
completed | March 31, 2026, 3:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe11aefc88190bcf614e936455927 |
completed | March 31, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_69cbe441b76881909efa791b74316088 |
completed | March 31, 2026, 3:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc34749ae08190a1d30919a0594bfd |
completed | March 31, 2026, 8:54 p.m. |
Created at: March 30, 2026, 5:18 p.m.