Triple
T7997430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aqueduct of Querétaro |
E186160
|
entity |
| Predicate | transportedMedium |
P11420
|
FINISHED |
| Object | water |
—
|
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: water | Statement: [Aqueduct of Querétaro, transportedMedium, water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportedMedium Context triple: [Aqueduct of Querétaro, transportedMedium, water]
-
A.
typeOfMediumship
Indicates a relationship where one entity specifies the particular form or method of mediumship practiced or involved in relation to another entity.
-
B.
materialTransportedFrom
Indicates that a material or substance is moved or carried from a specified source location to another place.
-
C.
materialTransportedTo
Indicates that a material is moved or conveyed from one location or entity to another specified destination.
-
D.
transportedOver
chosen
Indicates that something is moved or carried across or along a specified medium, route, or surface.
-
E.
transportedAfter
Indicates that one entity is transported only after the transportation of another entity has occurred in time.
- 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_69ca829c6c308190ab05b43d234c52b2 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c98e39081908904d36a31bd6768 |
completed | March 31, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69cb0483d3b48190b250c7603d747bca |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:17 p.m.