Triple
T7165565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Dansborg |
E167059
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Tranquebar |
E123168
|
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: Tranquebar | Statement: [Fort Dansborg, location, Tranquebar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tranquebar Context triple: [Fort Dansborg, location, Tranquebar]
-
A.
Tranquebar
chosen
Tranquebar is a historic coastal town in Tamil Nadu, India, known for its former Danish colonial settlement and distinctive Indo-European architecture.
-
B.
Madras Port
Madras Port, now known as Chennai Port, is one of India’s oldest and busiest seaports, serving as a key maritime gateway on the southeastern coast of the country.
-
C.
Laboe
Laboe is a seaside town in northern Germany known for its Baltic Sea beaches and the Laboe Naval Memorial overlooking Kiel Bay.
-
D.
Ostend
Ostend is a Belgian coastal city on the North Sea known for its beaches, port, and seaside tourism.
-
E.
Ostend
Ostend is a small residential and commercial settlement on Waiheke Island in New Zealand’s Hauraki Gulf.
- 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_69c68888c10c819095e0383020225758 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e832d2548190aacff0de80dbc268 |
completed | March 27, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7adcc145c8190ba65831ed891a225 |
completed | March 28, 2026, 10:30 a.m. |
Created at: March 27, 2026, 2:47 p.m.