Triple
T677321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Lucia |
E13106
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Castries |
E83411
|
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: Castries | Statement: [Saint Lucia, largestCity, Castries]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Castries Context triple: [Saint Lucia, largestCity, Castries]
-
A.
Castries
chosen
Castries is the largest city and main commercial and cultural center of Saint Lucia in the eastern Caribbean.
-
B.
Bridgetown
Bridgetown is the largest city and main commercial and cultural center of Barbados, located on the island’s southwestern coast.
-
C.
Bequia
Bequia is a small, picturesque Caribbean island known for its beaches, sailing culture, and laid-back atmosphere, located in the Grenadines island chain.
-
D.
Port-au-Prince
Port-au-Prince is the capital and largest city of Haiti, serving as the country’s political, economic, and cultural center.
-
E.
Francistown
Francistown is a major city in northeastern Botswana, historically known as a gold-mining center and an important commercial hub near the border with Zimbabwe.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a04c89148190b6330e86697bb37b |
completed | March 1, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dc9f5f7c8190a766c6b545d1abd8 |
completed | March 2, 2026, 6:53 p.m. |
Created at: March 1, 2026, 7:36 p.m.