Triple
T1437130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danish colonial empire |
E30581
|
entity |
| Predicate | hasPart |
P35
|
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: [Danish colonial empire, hasPart, Tranquebar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tranquebar Context triple: [Danish colonial empire, hasPart, 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.
Ostend
Ostend is a Belgian coastal city on the North Sea known for its beaches, port, and seaside tourism.
-
D.
Calicut
Calicut, also known as Kozhikode, is a historic coastal city in Kerala, India, renowned as a key medieval spice-trading hub that attracted Arab, Chinese, and later European merchants.
-
E.
Novo-Arkhangelsk
Novo-Arkhangelsk was the Russian colonial-era name for the settlement that later became the city of Sitka in present-day Alaska.
- 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c50418d08190ace2cab98af87f29 |
completed | March 1, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad08b81a2c8190a47b1f960cf17f9d |
completed | March 8, 2026, 5:27 a.m. |
Created at: March 1, 2026, 8 p.m.