Triple
T26653519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nile floodplain |
E666431
|
entity |
| Predicate | wasMeasuredBy |
P24236
|
FINISHED |
| Object | nilometers in ancient Egypt |
—
|
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: nilometers in ancient Egypt | Statement: [Nile floodplain, wasMeasuredBy, nilometers in ancient Egypt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasMeasuredBy Context triple: [Nile floodplain, wasMeasuredBy, nilometers in ancient Egypt]
-
A.
measuredBy
chosen
Indicates that something’s quantity, extent, or value is determined or expressed using a particular measurement method, instrument, or unit.
-
B.
firstMeasuredBy
Indicates that a measurement or value was obtained for the first time through a specified measuring process, instrument, or agent.
-
C.
measuredAs
Indicates that one entity’s quantity, value, or property is expressed or recorded using another entity as its measurement or unit.
-
D.
measureOf
Indicates that one entity serves as a quantitative or qualitative assessment or metric describing a property, extent, or magnitude of another entity.
-
E.
wasPreviouslyMeasuredAs
Indicates that an entity had a specific measurement or value at an earlier time, which may differ from its current measurement.
- 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_69ee9cf8c7188190b9b00270a8a89164 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6167ccb308190a3183b2145bf4ce8 |
completed | May 2, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 2:34 a.m.