Triple
T37940116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. state high points |
E946461
|
entity |
| Predicate | hasLowestMember |
P189636
|
FINISHED |
| Object | Britton Hill |
—
|
NE NERFINISHED |
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: Britton Hill | Statement: [U.S. state high points, hasLowestMember, Britton Hill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLowestMember Context triple: [U.S. state high points, hasLowestMember, Britton Hill]
-
A.
lowestMember
chosen
Indicates that one entity is the member of a group or set that has the lowest value according to some specified ordering or criterion.
-
B.
hasLowestCommonRank
Indicates that two entities share a lowest (most specific) common level in a ranking or hierarchical system.
-
C.
hasLow
Indicates that an entity possesses a value, level, or amount of something that is below a defined or expected threshold.
-
D.
hasLowestTerminusAmong
Indicates that one entity’s terminus (end point) is lower in position or elevation than the termini of all other compared entities.
-
E.
hasLowerAge
Indicates that one entity is younger in age than another entity.
- 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_69f76ef531ac8190ae6d99e5786e76ec |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ffb1f0b03c81909ddb81f07ce74e88 |
completed | May 9, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69ffb1662b2481908582e0612744f4c5 |
completed | May 9, 2026, 10:12 p.m. |
Created at: May 3, 2026, 4:20 p.m.