Triple
T5446449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edom |
E122259
|
entity |
| Predicate | hasRegion |
P285
|
FINISHED |
| Object | Mount Seir |
E368559
|
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 Seir | Statement: [Edom, hasRegion, Mount Seir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Seir Context triple: [Edom, hasRegion, Mount Seir]
-
A.
Mount Seir
chosen
Mount Seir is a mountainous region in the ancient Near East, traditionally identified as the homeland of Esau and the nation of Edom in the Hebrew Bible.
-
B.
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.
-
C.
Mount Taron
Mount Taron is the tallest mountain on New Ireland Island in Papua New Guinea, known for its rugged terrain and dense tropical rainforest.
-
D.
Mount Oros
Mount Oros is the highest mountain on the Greek island of Aegina, known for its panoramic views and historical religious sites.
-
E.
Mount Ziria
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.
- 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_69bd4640f52c81909e653ec361f66d76 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91cf5d488190868ffefad02c7a04 |
completed | March 20, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfd23af5988190a66bdbec54654970 |
completed | March 22, 2026, 11:27 a.m. |
Created at: March 20, 2026, 2:07 p.m.