Triple
T3951161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A2 coastal highway |
E84867
|
entity |
| Predicate | passesThroughCity |
P416
|
FINISHED |
| Object | Mirissa |
E321675
|
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: Mirissa | Statement: [A2 coastal highway, passesThroughCity, Mirissa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mirissa Context triple: [A2 coastal highway, passesThroughCity, Mirissa]
-
A.
Mirissa
chosen
Mirissa is a small coastal town in southern Sri Lanka known for its scenic beaches, surfing, and whale-watching opportunities.
-
B.
Maiana
Maiana is a low-lying coral atoll in the central Pacific nation of Kiribati, known for its traditional village life and vulnerability to sea-level rise.
-
C.
Mazunte
Mazunte is a small, laid-back beach town on Mexico’s Oaxacan coast, known for its sea turtle conservation center, eco-tourism, and scenic Pacific shoreline.
-
D.
Mirani
Mirani is an electoral district in Queensland, Australia, represented in the state's Legislative Assembly.
-
E.
Lagoona
Lagoona is a creative work or character whose style and themes are shaped by the fantastical, fairy-filled world and motifs associated with Oberon from literature and mythology.
- 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9384cdc8190ad89b32dc25ac1d7 |
completed | March 9, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533a4d3048190b63ad93a6ec87a48 |
completed | March 14, 2026, 10:08 a.m. |
Created at: March 9, 2026, 3:30 p.m.