Triple
T10923917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turks and Caicos National Museum |
E258015
|
entity |
| Predicate | locatedIn |
P40
|
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: [Turks and Caicos National Museum, locatedIn, Grand Turk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grand Turk Context triple: [Turks and Caicos National Museum, locatedIn, 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.
Doria
Doria is an influential Genoese noble family historically prominent in maritime, political, and military affairs of the Republic of Genoa.
-
E.
Kadir
Kadir is a masculine given name of Turkish origin commonly used in Turkey and among Turkish-speaking communities.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7708e3fd881908da10f24a856364c |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23bcee80481909a9ec8a03bc5266d |
completed | April 17, 2026, 1:55 p.m. |
Created at: April 8, 2026, 9:22 p.m.