Triple
T190398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Pyramid of Giza |
E3706
|
entity |
| Predicate | apexOriginallyCappedBy |
P7834
|
FINISHED |
| Object | pyramidion (capstone) |
—
|
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: pyramidion (capstone) | Statement: [Great Pyramid of Giza, apexOriginallyCappedBy, pyramidion (capstone)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: apexOriginallyCappedBy Context triple: [Great Pyramid of Giza, apexOriginallyCappedBy, pyramidion (capstone)]
-
A.
operationalCeiling
Indicates the maximum altitude at which an entity (such as an aircraft or system) is designed or permitted to operate effectively and safely.
-
B.
parentPeak
Indicates that one peak is the higher or primary peak to which another, subordinate peak is topographically related.
-
C.
typicalCapacity
Indicates the usual or standard amount, volume, or capability that something is designed or expected to hold, handle, or perform under normal conditions.
-
D.
introducedAfter
Indicates that one entity was introduced at a later time or stage than another entity.
-
E.
emergedWith
Indicates that one entity came forth, appeared, or became visible at the same time and in association with another entity.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a2594c385481909e1e088e45c460a4 |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a25673ce3c8190b1a3df5b814a0595 |
completed | Feb. 28, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69a258fbd18881908c9d40f7a2480945 |
completed | Feb. 28, 2026, 2:54 a.m. |
Created at: Feb. 28, 2026, 2:41 a.m.