Triple
T11456141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gasherbrum II |
E271531
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | K4 |
E271530
|
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: K4 | Statement: [Gasherbrum II, alsoKnownAs, K4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: K4 Context triple: [Gasherbrum II, alsoKnownAs, K4]
-
A.
K4
chosen
K4 is an alternative name for Gasherbrum II, one of the world’s fourteen 8,000-meter peaks located in the Karakoram range on the China–Pakistan border.
-
B.
K-14
K-14 is a state highway in Kansas that runs through Ellsworth County, serving as part of the regional transportation network in central Kansas.
-
C.
The K
The K is the popular nickname for Kauffman Stadium, the longtime home ballpark of Major League Baseball’s Kansas City Royals.
-
D.
K.
K. is the enigmatic land surveyor protagonist of Franz Kafka’s novel "The Castle," whose futile attempts to gain access to the mysterious authorities embody themes of alienation and bureaucratic absurdity.
-
E.
K7
K7 is the registration number of the Bluebird K7, the famous mid-20th-century hydroplane in which Donald Campbell set multiple world water speed records.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d81c71b1208190be1d5623d18e0222 |
completed | April 9, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d3e197c881909db2e4e59c61c3c3 |
completed | April 20, 2026, 7:21 a.m. |
Created at: April 8, 2026, 9:35 p.m.