Triple
T23529592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zadar Archipelago |
E576525
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Rava |
—
|
NE NERFINISHED |
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: Rava | Statement: [Zadar Archipelago, hasPart, Rava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rava Context triple: [Zadar Archipelago, hasPart, Rava]
-
A.
Rava
Rava was a prominent fourth-century Babylonian Talmudic sage whose legal debates with his colleague Abaye are central to rabbinic Jewish law and scholarship.
-
B.
Rava
chosen
Rava is a small, sparsely populated Croatian island in the Adriatic Sea, known for its quiet villages, olive groves, and traditional Mediterranean landscape.
-
C.
Kasha
Kasha is a feminine given name used in various cultures, often as a diminutive or variant of names like Katarzyna or Kasia.
-
D.
Reis
Reis was an Ottoman naval rank and title roughly equivalent to captain or chief commander of a ship or small fleet.
-
E.
Ruaka
Ruaka is a rapidly growing residential and commercial suburb on the outskirts of Nairobi, Kenya, known for its proximity to upscale neighborhoods and major shopping centers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ac7646a48190b5dcbaf8c0c194df |
completed | April 29, 2026, 7 a.m. |
Created at: April 17, 2026, 6:09 p.m.