Triple
T3546240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lahun Pyramid |
E75002
|
entity |
| Predicate | approximateBaseLength |
P25800
|
FINISHED |
| Object | about 106 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 106 meters | Statement: [Lahun Pyramid, approximateBaseLength, about 106 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateBaseLength Context triple: [Lahun Pyramid, approximateBaseLength, about 106 meters]
-
A.
approximateLengthInMeters
chosen
Indicates the estimated or roughly measured length of something expressed in meters.
-
B.
hasTunnelLengthApprox
Indicates that an entity has a tunnel whose length is approximately a specified value.
-
C.
approximateRadius
Indicates that one entity specifies or provides an estimated value for the radius of another entity.
-
D.
hasApproximateNumberOfLetters
Indicates that an entity is associated with a number that roughly, but not exactly, corresponds to the count of letters it contains.
-
E.
approximateWeightInPounds
Indicates the estimated weight of an entity expressed in pounds, rather than an exact measured value.
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbfcf64488190af8452308734028c |
completed | March 8, 2026, 6:28 p.m. |
| PD | Predicate disambiguation | batch_69adae15749881909b847c6ca73c934e |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:20 p.m.