Triple
T4577312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tranquebar |
E123168
|
entity |
| Predicate | foundedAsDanishTradingPost |
P5693
|
FINISHED |
| Object | 1620 |
—
|
LITERAL 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: 1620 | Statement: [Tranquebar, foundedAsDanishTradingPost, 1620]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedAsDanishTradingPost Context triple: [Tranquebar, foundedAsDanishTradingPost, 1620]
-
A.
colonyFounded
Indicates that an entity established or created a colony at a particular time or place.
-
B.
foundedAs
Indicates the original name or form under which an organization, institution, or entity was first established.
-
C.
isColonialFoundationOf
Indicates that one entity was established as a colony that later developed into or served as the origin of the other entity.
-
D.
foundedAfterArrivalOf
Indicates that one entity was founded only after the arrival or appearance of another specified entity.
-
E.
formerColonyEstablishedIn
chosen
Indicates that a former colony was originally established in a specified year or time period.
- F. None of above.
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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58e153908190ac8f578e03aecdfc |
completed | March 20, 2026, 2:25 p.m. |
| PD | Predicate disambiguation | batch_69bd5228b70c8190ac48705e35a710c1 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:10 p.m.