Triple
T1214488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pompey’s Pillar |
E26077
|
entity |
| Predicate | shaftHeight |
P25055
|
FINISHED |
| Object | about 20.75 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 20.75 metres | Statement: [Pompey’s Pillar, shaftHeight, about 20.75 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shaftHeight Context triple: [Pompey’s Pillar, shaftHeight, about 20.75 metres]
-
A.
shaftCount
Indicates the number of shafts associated with or contained in an object or system.
-
B.
heightWithPedestal
Indicates the total vertical measurement of an object including the height of its supporting pedestal.
-
C.
heightReference
Indicates that one entity’s height is being measured, compared, or defined relative to another specified reference point or standard.
-
D.
fairingHeight
Indicates the vertical dimension or distance from base to top of a fairing structure.
-
E.
seatPitch
Indicates the distance between a seat and the seat directly in front of it, typically measuring legroom or spacing in a seating arrangement.
- 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be0370b4819093618930f4eecfcc |
completed | March 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69a4bb62a7c08190a79dcb6ff72ac99b |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bc6d5b7881908091e40c8695ef53 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:46 p.m.