Triple
T1249943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liber Linteus Zagrabiensis |
E26850
|
entity |
| Predicate | approximateLengthInMeters |
P25800
|
FINISHED |
| Object | about 3 meters |
—
|
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 3 meters | Statement: [Liber Linteus Zagrabiensis, approximateLengthInMeters, about 3 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateLengthInMeters Context triple: [Liber Linteus Zagrabiensis, approximateLengthInMeters, about 3 meters]
-
A.
approximateDiameter
Indicates that one entity specifies the estimated or rough measurement of another entity’s diameter.
-
B.
navigableLengthApproxKm
Indicates the approximate distance, measured in kilometers, over which something (typically a waterway) can be navigated.
-
C.
approximateRadius
Indicates that one entity specifies or provides an estimated value for the radius of another entity.
-
D.
hasTunnelLengthApprox
Indicates that an entity has a tunnel whose length is approximately a specified value.
-
E.
trailLengthApprox
Indicates an approximate measurement of the total length of a trail.
- 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf83b32c81908648e5748b897247 |
completed | March 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6b075881908e867c25b5080e25 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bc49693c8190978ec63a5171d342 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:47 p.m.