Triple
T3584840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andros |
E75884
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Gavrio |
E371092
|
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: Gavrio | Statement: [Andros, hasPort, Gavrio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gavrio Context triple: [Andros, hasPort, Gavrio]
-
A.
Gavrio
chosen
Gavrio is the main port town of the Greek island of Andros in the Cyclades, serving as its primary gateway by sea.
-
B.
Lyova
Lyova is a Russian diminutive form of the male given name Lev.
-
C.
Gorely
Gorely is an active stratovolcano complex on Russia’s Kamchatka Peninsula, known for its multiple craters, frequent eruptions, and striking acidic crater lakes.
-
D.
Ruda
Ruda is the former name of the global sportswear and athletic brand now known as Puma.
-
E.
Würm
Würm is a river in Bavaria, Germany, known for flowing from Lake Starnberg through several towns before joining the Isar River near Munich.
- 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_69ad85d6dc3c8190b491b79b83e25461 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc10f9b508190bde4a4e4711dd452 |
completed | March 8, 2026, 6:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b43303f1088190be5e4460f579efb8 |
completed | March 13, 2026, 3:53 p.m. |
Created at: March 8, 2026, 3:22 p.m.