Triple
T22430719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walbaum |
E554490
|
entity |
| Predicate | xHeight |
P3566
|
FINISHED |
| Object | relatively moderate x-height |
—
|
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: relatively moderate x-height | Statement: [Walbaum, xHeight, relatively moderate x-height]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: xHeight Context triple: [Walbaum, xHeight, relatively moderate x-height]
-
A.
heightPerLetter
chosen
Indicates the vertical size or height assigned to each individual letter in a text or font.
-
B.
heightContext
Indicates a contextual or situational relationship that specifies how an entity’s height is defined, measured, or interpreted in a particular setting or frame of reference.
-
C.
approximateAscent
Indicates an estimated or non-exact upward change or increase in value, level, or position.
-
D.
heightReference
Indicates that one entity’s height is being measured, compared, or defined relative to another specified reference point or standard.
-
E.
hasHeight
Indicates that one entity possesses a specific vertical measurement or stature.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a311b148190bdb752f3f067bb3f |
completed | April 29, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69e898a327948190beee5e168006a0a7 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:47 p.m.