Triple
T702105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cross of Lorraine |
E14020
|
entity |
| Predicate | hasUpperBarLength |
P18438
|
FINISHED |
| Object | shorter than lower bar |
—
|
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: shorter than lower bar | Statement: [Cross of Lorraine, hasUpperBarLength, shorter than lower bar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUpperBarLength Context triple: [Cross of Lorraine, hasUpperBarLength, shorter than lower bar]
-
A.
hasHeight
Indicates that one entity possesses a specific vertical measurement or stature.
-
B.
hasMainSpanLength
Indicates the relationship specifying the primary or main span’s length associated with an entity.
-
C.
isFeatureLength
Indicates that something (typically a film or video) has a duration long enough to be considered a full-length, standard feature.
-
D.
heightWithPedestal
Indicates the total vertical measurement of an object including the height of its supporting pedestal.
-
E.
hasFront
Indicates that an entity possesses or is associated with a front-facing side, surface, or portion.
- 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a544e3608190ac315c7aa9f88e7e |
completed | March 1, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69a4a4ec8c748190b198492a0eea4445 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a54235548190b46218ea18f77341 |
completed | March 1, 2026, 8:44 p.m. |
Created at: March 1, 2026, 7:36 p.m.