Triple
T2490686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puducherry |
E52032
|
entity |
| Predicate | hasExclave |
P10271
|
FINISHED |
| Object |
Mahe
Mahe is a small coastal town on the Arabian Sea that forms a geographically separated district of the Union Territory of Puducherry in India.
|
E274360
|
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: Mahe | Statement: [Puducherry, hasExclave, Mahe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mahe Context triple: [Puducherry, hasExclave, Mahe]
-
A.
Mauritius
Mauritius is an island nation in the Indian Ocean known for its multicultural society, stable democracy, and tourism-driven economy.
-
B.
Madagascar
Madagascar is a large island nation in the Indian Ocean renowned for its unique biodiversity and high rate of endemic species.
-
C.
Praslin
Praslin is the second-largest island of Seychelles, renowned for its white-sand beaches, lush tropical forests, and the UNESCO-listed Vallée de Mai nature reserve.
-
D.
Mohéli
Mohéli is the smallest and least populated of the three main islands of the Union of the Comoros, known for its rich marine biodiversity and relatively unspoiled natural environment.
-
E.
Nosy Be
Nosy Be is a popular resort island off the northwest coast of Madagascar, known for its beaches, marine life, and volcanic lakes.
- 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: Mahe Triple: [Puducherry, hasExclave, Mahe]
Generated description
Mahe is a small coastal town on the Arabian Sea that forms a geographically separated district of the Union Territory of Puducherry in India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mahe Target entity description: Mahe is a small coastal town on the Arabian Sea that forms a geographically separated district of the Union Territory of Puducherry in India.
-
A.
Mauritius
Mauritius is an island nation in the Indian Ocean known for its multicultural society, stable democracy, and tourism-driven economy.
-
B.
Madagascar
Madagascar is a large island nation in the Indian Ocean renowned for its unique biodiversity and high rate of endemic species.
-
C.
Praslin
Praslin is the second-largest island of Seychelles, renowned for its white-sand beaches, lush tropical forests, and the UNESCO-listed Vallée de Mai nature reserve.
-
D.
Mohéli
Mohéli is the smallest and least populated of the three main islands of the Union of the Comoros, known for its rich marine biodiversity and relatively unspoiled natural environment.
-
E.
Nosy Be
Nosy Be is a popular resort island off the northwest coast of Madagascar, known for its beaches, marine life, and volcanic lakes.
- 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_69ab4955111c8190835bf619adec21ff |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd18fe32081909580c6272a6013c5 |
completed | March 7, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2b8429388190a2d1b1610511ea75 |
completed | March 9, 2026, 8:20 p.m. |
| NEDg | Description generation | batch_69af4d9009208190a80cbab32cd2f4de |
completed | March 9, 2026, 10:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af4e4ab8188190b5f28c8e6d3995c3 |
completed | March 9, 2026, 10:48 p.m. |
Created at: March 6, 2026, 9:45 p.m.