Triple
T16025771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skydra municipality |
E388713
|
entity |
| Predicate | hasSeat |
P3522
|
FINISHED |
| Object | Skydra |
E1189976
|
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: Skydra | Statement: [Skydra municipality, hasSeat, Skydra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skydra Context triple: [Skydra municipality, hasSeat, Skydra]
-
A.
Skydra
chosen
Skydra is a town in northern Greece that serves as a local commercial and transportation hub within the Pella regional unit of Central Macedonia.
-
B.
Aquilon
Aquilon was a warship that engaged in naval combat with the British battleship HMS Goliath.
-
C.
Stormfly
Stormfly is Astrid Hofferson’s loyal Deadly Nadder dragon companion from the How to Train Your Dragon franchise.
-
D.
Droshak
Droshak is the official newspaper and central publication of the Armenian Revolutionary Federation, serving as a key organ for its political views and party news.
-
E.
Taranis
Taranis is a major Celtic thunder god often associated with the sky, storms, and the wheel as a symbol of his power.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1832790548190a74045d554e13328 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbcfd39c81909bfddfe95f9ad7d2 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:55 a.m.