Triple
T30075275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European peerage ranks |
E764300
|
entity |
| Predicate | hasLowestCommonRank |
P191094
|
FINISHED |
| Object | baron |
—
|
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: baron | Statement: [European peerage ranks, hasLowestCommonRank, baron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLowestCommonRank Context triple: [European peerage ranks, hasLowestCommonRank, baron]
-
A.
hasLowestTerminusAmong
Indicates that one entity’s terminus (end point) is lower in position or elevation than the termini of all other compared entities.
-
B.
containsRank
Indicates that one entity includes or encompasses another entity that has a specific rank or hierarchical level within it.
-
C.
hasComparableRank
Indicates that two entities hold positions or levels that are equivalent or similar in rank within a given hierarchy or system.
-
D.
isLowerReachOf
Indicates that one entity represents the downstream or lower section of another entity’s continuous extent, such as along a river, channel, or similar linear feature.
-
E.
lowestRank
Indicates that the subject has the least or worst rank in an ordered set compared to all other related 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_69f22472eee081909791dc372aa766e9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69fcda35dc048190a3c90e15230900e0 |
completed | May 7, 2026, 6:30 p.m. |
Created at: April 29, 2026, 7:01 p.m.