Triple
T12140010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cockburn Harbour |
E289156
|
entity |
| Predicate | hasNearbyIsland |
P970
|
FINISHED |
| Object | Grand Turk |
E281720
|
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: Grand Turk | Statement: [Cockburn Harbour, hasNearbyIsland, Grand Turk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grand Turk Context triple: [Cockburn Harbour, hasNearbyIsland, Grand Turk]
-
A.
Grand Turk
chosen
Grand Turk is the capital island of the Turks and Caicos Islands, known for its historic Cockburn Town and surrounding coral reefs that attract divers and cruise ships.
-
B.
Murça
Murça is a small municipality in northern Portugal, known for its wine production and location within the Douro region.
-
C.
Turgut
Turgut is a masculine Turkish given name most notably borne by the influential modernist poet Turgut Uyar.
-
D.
Kadir
Kadir is a masculine given name of Turkish origin commonly used in Turkey and among Turkish-speaking communities.
-
E.
Osmanya
Osmanya is a Unicode block containing characters of the Osmanya alphabet, which was devised in the 20th century for writing the Somali language.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9158eef48819083bdce283a363414 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f692ee048190ab42c92296fd28fb |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.