Triple
T2201718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Pyramid of Cholula |
E50502
|
entity |
| Predicate | tunnelLength |
P12895
|
FINISHED |
| Object | several kilometers |
—
|
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: several kilometers | Statement: [Great Pyramid of Cholula, tunnelLength, several kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tunnelLength Context triple: [Great Pyramid of Cholula, tunnelLength, several kilometers]
-
A.
hasTunnelLengthApprox
chosen
Indicates that an entity has a tunnel whose length is approximately a specified value.
-
B.
tunnelCircumference
Indicates the circular distance around the inner boundary of a tunnel’s cross-section.
-
C.
lengthInKm
Indicates that one entity specifies the length or distance of another entity measured in kilometers.
-
D.
trailLengthApprox
Indicates an approximate measurement of the total length of a trail.
-
E.
mainStraightLengthKm
Indicates the length, measured in kilometers, of the primary straight segment associated with the entity.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfa1b41c8190b0f7467d0dcdfbcd |
completed | March 7, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69abbda706f4819094de73e1d1d1f539 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.