Triple
T2224372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Lot |
E48614
|
entity |
| Predicate | hasHeightDifferenceFrom |
P19604
|
FINISHED |
| Object | Upper Lot |
—
|
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: Upper Lot | Statement: [Lower Lot, hasHeightDifferenceFrom, Upper Lot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeightDifferenceFrom Context triple: [Lower Lot, hasHeightDifferenceFrom, Upper Lot]
-
A.
hasHeight
Indicates that one entity possesses a specific vertical measurement or stature.
-
B.
heightReference
Indicates that one entity’s height is being measured, compared, or defined relative to another specified reference point or standard.
-
C.
heightClass
Indicates the categorical height level or range to which an entity is assigned (e.g., short, medium, tall).
-
D.
heightRestriction
Indicates that there is a limit or constraint on how tall an entity is allowed or required to be in a given context.
-
E.
hasRelativeRelief
chosen
Indicates a relationship where one entity is characterized by the degree of variation in elevation or relief relative to another reference entity or area.
- 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_69a88aa51b388190949868ec9766e587 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc03ec3788190b5ae32201364f7ab |
completed | March 7, 2026, 6:05 a.m. |
| PD | Predicate disambiguation | batch_69abbdac31d8819092d17815e11921e9 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.