Triple
T12599090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China–Pakistan relations |
E300808
|
entity |
| Predicate | symbolicPhrase |
P105639
|
FINISHED |
| Object | higher than the Himalayas |
—
|
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: higher than the Himalayas | Statement: [China–Pakistan relations, symbolicPhrase, higher than the Himalayas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolicPhrase Context triple: [China–Pakistan relations, symbolicPhrase, higher than the Himalayas]
-
A.
mainPhrase
Indicates that the referenced phrase functions as the primary or central phrase within a larger linguistic or structural unit.
-
B.
symbolText
Indicates that a symbol is associated with or represented by a specific piece of text.
-
C.
symbolicGarnishMeaning
Indicates that a garnish is used to convey a symbolic or metaphorical meaning beyond its decorative or flavor-enhancing role.
-
D.
usedPhrase
Indicates that one entity employed or expressed a particular phrase in speech, writing, or another form of communication.
-
E.
inspiredByPhrase
Indicates that one entity’s creation, idea, or expression is motivated or shaped by the content or wording of a particular phrase.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9559458dc8190bc4d6e697e99d70e |
completed | April 10, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69d9541894fc8190a0c3706a414279f0 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d95590a5e08190842b988531cf2921 |
completed | April 10, 2026, 7:54 p.m. |
Created at: April 9, 2026, 5:09 p.m.