Triple
T10770515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ziria |
E254062
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Mount Ziria |
E299084
|
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: Mount Ziria | Statement: [Ziria, alsoKnownAs, Mount Ziria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Ziria Context triple: [Ziria, alsoKnownAs, Mount Ziria]
-
A.
Mount Ziria
chosen
Mount Ziria is a prominent mountain in the Peloponnese region of Greece, known for its rugged landscapes, hiking trails, and mythological association with the god Hermes.
-
B.
Mount Zas
Mount Zas is the tallest mountain on the Greek island of Naxos, traditionally associated with the childhood of the god Zeus and popular for its hiking trails and caves.
-
C.
Mount Zeil
Mount Zeil is a prominent mountain in Australia’s Northern Territory, noted for being the tallest peak in the West MacDonnell Ranges and the highest point west of the Great Dividing Range.
-
D.
Mount Voras
Mount Voras is a prominent mountain on the border between Greece and North Macedonia, known for its ski resort and scenic alpine landscapes.
-
E.
Mount Rizeh
Mount Rizeh is the tallest peak in the Kopet Dag mountain range along the border of Iran and Turkmenistan.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d732314bcc8190980c6f698f64ccf5 |
completed | April 9, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c7d11cf081908f714686f582c081 |
completed | April 18, 2026, 6:05 p.m. |
Created at: April 8, 2026, 9:16 p.m.