Triple
T16195660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kato Zakros |
E393053
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Zakros |
E84468
|
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: Zakros | Statement: [Kato Zakros, near, Zakros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zakros Context triple: [Kato Zakros, near, Zakros]
-
A.
Zakros
chosen
Zakros is an important Minoan archaeological site on the eastern coast of Crete, known for the remains of a palace complex and its role in Bronze Age trade.
-
B.
Pano Zakros
Pano Zakros is a small traditional village in eastern Crete, Greece, known as a gateway to the nearby Minoan archaeological site of Zakros and the scenic Gorge of the Dead.
-
C.
Aneityum
Aneityum is the southernmost inhabited island of Vanuatu, known for its indigenous culture, lush landscapes, and role as a destination for cruise tourism.
-
D.
Fez
Fez is a historic imperial city in northern Morocco renowned for its well-preserved medieval medina, traditional craftsmanship, and status as a major cultural and religious center.
-
E.
Fez
Fez is the quirky, foreign-exchange student character known for his awkward charm and comedic misunderstandings on the sitcom "That '70s Show."
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222d91130819080da4e2611612e27 |
completed | April 17, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00078bbc388190b3fb793556ddd75a |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:02 a.m.