Triple
T371879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian Ocean |
E8285
|
entity |
| Predicate | hasMajorPort |
P942
|
FINISHED |
| Object | Chennai |
E12324
|
NE FINISHED |
How this triple was built (2 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: Chennai | Statement: [Indian Ocean, hasMajorPort, Chennai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chennai Context triple: [Indian Ocean, hasMajorPort, Chennai]
-
A.
Chennai
chosen
Chennai is a major coastal metropolis in southern India, serving as the capital of Tamil Nadu and a key cultural, economic, and automotive hub.
-
B.
Coimbatore
Coimbatore is a major industrial and educational city in the Indian state of Tamil Nadu, known especially for its textile, engineering, and manufacturing industries.
-
C.
Vellore
Vellore is a residential neighbourhood in the city of Vaughan, Ontario, known for its suburban housing, schools, and community amenities.
-
D.
Madurai
Madurai is a historic city in the southern Indian state of Tamil Nadu, renowned for its ancient Meenakshi Amman Temple and long-standing role as a major cultural and commercial center.
-
E.
Bengaluru
Bengaluru is a major Indian metropolis known as the country’s leading technology and innovation hub, often called the “Silicon Valley of India.”
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a2e7f2ec648190b42bc7db424f8109 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec00785481908551fc3571fcca47 |
completed | Feb. 28, 2026, 1:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a47117818c8190ac5f0d6a3fc9c3a3 |
completed | March 1, 2026, 5:02 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.