Triple
T34267822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Sabalan |
E879220
|
entity |
| Predicate | rankingByHeightInIran |
P185350
|
FINISHED |
| Object | third highest peak in Iran |
—
|
LITERAL 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: third highest peak in Iran | Statement: [Mount Sabalan, rankingByHeightInIran, third highest peak in Iran]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingByHeightInIran Context triple: [Mount Sabalan, rankingByHeightInIran, third highest peak in Iran]
-
A.
rankingByHeightInIsrael
Indicates an ordering of entities based on their relative heights within the context of Israel.
-
B.
areaRankInIran
Indicates the relative position of an entity in a ranking ordered by its area size within Iran.
-
C.
rankingByHeightInIndia
Indicates the relative ordering of entities based on their height specifically within the context of India.
-
D.
rankingByHeightInJapan
Indicates the relative order of entities based on their height specifically within the context of Japan.
-
E.
rankInSwedenByHeight
Indicates the position an entity holds in an ordered list of entities in Sweden when sorted by their height.
- F. None of above. chosen
Provenance (4 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_69f349b4f5fc819094b441d18e95e5f1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be520f148190ba200bf3dbf40656 |
completed | May 3, 2026, 9:29 p.m. |
Created at: May 1, 2026, 1:56 a.m.