Triple
T5619875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andaman Trunk Road |
E147573
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Mayabunder |
E147567
|
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: Mayabunder | Statement: [Andaman Trunk Road, connects, Mayabunder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mayabunder Context triple: [Andaman Trunk Road, connects, Mayabunder]
-
A.
Mayabunder
chosen
Mayabunder is a coastal town and administrative center in the Middle Andaman region of India’s Andaman and Nicobar Islands, known for its harbors, beaches, and surrounding mangrove forests.
-
B.
Hanuman Garhi
Hanuman Garhi is a prominent hilltop temple in Ayodhya dedicated to Lord Hanuman, revered as one of the city's most important pilgrimage sites.
-
C.
Kailasa
Kailasa is the mythic Himalayan mountain realm revered in Hindu tradition as the celestial residence of Lord Shiva and his divine retinue.
-
D.
Bahapur
Bahapur is a locality in South Delhi, India, best known for housing the iconic Lotus Temple, a major Baháʼí House of Worship and architectural landmark.
-
E.
Betapur
Betapur is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands 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_69c00905d4588190bd967842bbcf2219 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c022108db8819098739510366adee1 |
completed | March 22, 2026, 5:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0287fcde881908f761b701bf9a4f3 |
completed | March 22, 2026, 5:36 p.m. |
Created at: March 22, 2026, 3:40 p.m.