Triple
T4200435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vatican Obelisk |
E86051
|
entity |
| Predicate | heightWithBase |
P1723
|
FINISHED |
| Object | about 40 metres |
—
|
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: about 40 metres | Statement: [Vatican Obelisk, heightWithBase, about 40 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightWithBase Context triple: [Vatican Obelisk, heightWithBase, about 40 metres]
-
A.
hasHeight
Indicates that one entity possesses a specific vertical measurement or stature.
-
B.
heightClass
Indicates the categorical height level or range to which an entity is assigned (e.g., short, medium, tall).
-
C.
heightWithPedestal
chosen
Indicates the total vertical measurement of an object including the height of its supporting pedestal.
-
D.
heightReference
Indicates that one entity’s height is being measured, compared, or defined relative to another specified reference point or standard.
-
E.
heightAboveSurroundings
Indicates that an entity’s vertical position or elevation is higher than that of its immediate surrounding 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0363bbb8819093f396afe91972e2 |
completed | March 9, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69af01959c4881909eb1adcb3bdadbe6 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:49 p.m.