Triple
T12521952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margao |
E299339
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Madgaon
Madgaon is a major commercial and cultural city in the South Goa district of the Indian state of Goa.
|
E994549
|
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: Madgaon | Statement: [Margao, alternativeName, Madgaon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madgaon Context triple: [Margao, alternativeName, Madgaon]
-
A.
Alibag
Alibag is a coastal town in Maharashtra, India, known for its beaches, historic forts, and role as a popular weekend getaway from Mumbai.
-
B.
Baramati
Baramati is a town in the Pune district of Maharashtra, India, known as an agricultural and industrial hub with historical and political significance.
-
C.
Dalgaon
Dalgaon is a town and administrative center located in the Darrang district of the northeastern Indian state of Assam.
-
D.
Ratnagiri
Ratnagiri is a coastal city in Maharashtra, India, known for its Alphonso mangoes, historic forts, and scenic beaches along the Konkan coast.
-
E.
Ulhasnagar
Ulhasnagar is a city in the Mumbai Metropolitan Region of Maharashtra, India, known for its large Sindhi community and extensive furniture and textile markets.
- 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: Madgaon Triple: [Margao, alternativeName, Madgaon]
Generated description
Madgaon is a major commercial and cultural city in the South Goa district of the Indian state of Goa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Madgaon Target entity description: Madgaon is a major commercial and cultural city in the South Goa district of the Indian state of Goa.
-
A.
Alibag
Alibag is a coastal town in Maharashtra, India, known for its beaches, historic forts, and role as a popular weekend getaway from Mumbai.
-
B.
Baramati
Baramati is a town in the Pune district of Maharashtra, India, known as an agricultural and industrial hub with historical and political significance.
-
C.
Dalgaon
Dalgaon is a town and administrative center located in the Darrang district of the northeastern Indian state of Assam.
-
D.
Ratnagiri
Ratnagiri is a coastal city in Maharashtra, India, known for its Alphonso mangoes, historic forts, and scenic beaches along the Konkan coast.
-
E.
Ulhasnagar
Ulhasnagar is a city in the Mumbai Metropolitan Region of Maharashtra, India, known for its large Sindhi community and extensive furniture and textile markets.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9545b2b2481909049a490c97678f2 |
completed | April 10, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6685d8c64819088db715d7552d18d |
completed | May 2, 2026, 9:10 p.m. |
| NEDg | Description generation | batch_69f6697d8ac88190b4ead9ce47f3a705 |
completed | May 2, 2026, 9:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66a2da60881909b0a689821456bb4 |
completed | May 2, 2026, 9:18 p.m. |
Created at: April 8, 2026, 9:57 p.m.