Triple
T34450991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hkakabo Razi |
E884367
|
entity |
| Predicate | parentCountryHighestPointRank |
P46619
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Hkakabo Razi, parentCountryHighestPointRank, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentCountryHighestPointRank Context triple: [Hkakabo Razi, parentCountryHighestPointRank, 1]
-
A.
countryHighestPointRank
chosen
Indicates the relative ranking of a country's highest natural elevation compared to the highest points of other countries.
-
B.
countryOfHighestPoint
Indicates the country within whose territory a given location’s highest elevation point is found.
-
C.
countryHighestPointAccess
Indicates that an entity has access to, or the ability to reach or utilize, the highest geographical point within a specified country.
-
D.
continentHighestPointRank
Indicates the relative ranking of a location’s elevation compared to other high points on the same continent, with rank 1 being the highest.
-
E.
countryRankByHeight
Indicates the relative position of a country when countries are ordered by the height of something (e.g., average elevation, tallest point, or average citizen height).
- F. None of above.
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_69f349c607688190b553539d14901a35 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
Created at: May 1, 2026, 2 a.m.