Triple
T13307435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olympus |
E316971
|
entity |
| Predicate | hasSummit |
P8024
|
FINISHED |
| Object | Skolio |
E105786
|
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: Skolio | Statement: [Olympus, hasSummit, Skolio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skolio Context triple: [Olympus, hasSummit, Skolio]
-
A.
Skolio
chosen
Skolio is one of the principal summits of Greece’s Mount Olympus, known as its second-highest peak.
-
B.
Schievelbein
Schievelbein is a historic town in Pomerania, now known as Świdwin in northwestern Poland.
-
C.
Sprengelkiez
Sprengelkiez is a residential neighborhood in Berlin’s Wedding district known for its canalside location, historic buildings, and vibrant local community.
-
D.
Blount
Blount is the surname of James Hillier Blount, better known as the English singer-songwriter James Blunt.
-
E.
Dyskolos
Dyskolos is an ancient Greek comedy by the playwright Menander, renowned as one of the best-preserved examples of New Comedy.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a8be108190bad0021f95ce3a93 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716e58cc48190afb46e8394227ab5 |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:29 p.m.