Triple
T31433149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spiral Tunnels |
E801849
|
entity |
| Predicate | previousMaximumGrade |
P196828
|
FINISHED |
| Object | approximately 4.5 percent |
—
|
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: approximately 4.5 percent | Statement: [Spiral Tunnels, previousMaximumGrade, approximately 4.5 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousMaximumGrade Context triple: [Spiral Tunnels, previousMaximumGrade, approximately 4.5 percent]
-
A.
hasMaximumGrade
Indicates that an entity possesses the highest possible grade or score within a defined grading or evaluation system.
-
B.
highestGradeAllows
Indicates that one entity’s highest grade or level achieved permits or qualifies it to access, perform, or receive another entity.
-
C.
highestTestScore
Indicates that one entity has achieved the greatest test score among a specified set or in a given context.
-
D.
lowestGrade
Indicates that one entity has the smallest or worst grade value compared to all other relevant entities in a given context.
-
E.
highestPass
Indicates that an entity has achieved the greatest passing value, score, or level among a set of compared entities.
- 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_69f348c475348190bf579ca858eec77c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe6b7c785c8190aaab06019f571434 |
completed | May 8, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fe68edef20819081c77f9607b944dd |
completed | May 8, 2026, 10:51 p.m. |
| PDg | Predicate description generation | batch_69fe6b7a823881909dc2037fe25bea24 |
completed | May 8, 2026, 11:02 p.m. |
Created at: April 30, 2026, 8:59 p.m.