Triple
T8002402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mumbai Metropolitan Region |
E186280
|
entity |
| Predicate | includesCity |
P3207
|
FINISHED |
| Object |
Alibag
Alibag is a coastal town in Maharashtra, India, known for its beaches, historic forts, and role as a popular weekend getaway from Mumbai.
|
E704186
|
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: Alibag | Statement: [Mumbai Metropolitan Region, includesCity, Alibag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alibag Context triple: [Mumbai Metropolitan Region, includesCity, Alibag]
-
A.
Dalgaon
Dalgaon is a town and administrative center located in the Darrang district of the northeastern Indian state of Assam.
-
B.
Tarapur
Tarapur is a town in the Anand district of Gujarat, India, known as a local commercial and agricultural center.
-
C.
Ratnagiri
Ratnagiri is a coastal city in Maharashtra, India, known for its Alphonso mangoes, historic forts, and scenic beaches along the Konkan coast.
-
D.
Karwar
Karwar is a coastal city in the Indian state of Karnataka, known for its beaches, port, and role as a key urban center in the Konkan region.
-
E.
Baramati
Baramati is a town in the Pune district of Maharashtra, India, known as an agricultural and industrial hub with historical and political significance.
- 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: Alibag Triple: [Mumbai Metropolitan Region, includesCity, Alibag]
Generated description
Alibag is a coastal town in Maharashtra, India, known for its beaches, historic forts, and role as a popular weekend getaway from Mumbai.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alibag Target entity description: Alibag is a coastal town in Maharashtra, India, known for its beaches, historic forts, and role as a popular weekend getaway from Mumbai.
-
A.
Dalgaon
Dalgaon is a town and administrative center located in the Darrang district of the northeastern Indian state of Assam.
-
B.
Tarapur
Tarapur is a town in the Anand district of Gujarat, India, known as a local commercial and agricultural center.
-
C.
Ratnagiri
Ratnagiri is a coastal city in Maharashtra, India, known for its Alphonso mangoes, historic forts, and scenic beaches along the Konkan coast.
-
D.
Karwar
Karwar is a coastal city in the Indian state of Karnataka, known for its beaches, port, and role as a key urban center in the Konkan region.
-
E.
Baramati
Baramati is a town in the Pune district of Maharashtra, India, known as an agricultural and industrial hub with historical and political significance.
- 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.