Triple
T12947195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City Tunnel No. 3 |
E309799
|
entity |
| Predicate | materialTransported |
P5941
|
FINISHED |
| Object | potable 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: potable water | Statement: [City Tunnel No. 3, materialTransported, potable water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialTransported Context triple: [City Tunnel No. 3, materialTransported, potable water]
-
A.
materialTransportedTo
Indicates that a material is moved or conveyed from one location or entity to another specified destination.
-
B.
materialTransportedFrom
Indicates that a material or substance is moved or carried from a specified source location to another place.
-
C.
cargoLoading
Indicates the action or process of placing cargo onto a vehicle, vessel, or other transport medium for shipment or movement.
-
D.
mainCargo
chosen
Indicates that one entity serves as the primary or principal cargo carried or transported by another entity.
-
E.
commonlyTransportedIn
Indicates that something is usually carried, moved, or conveyed using a particular vehicle, container, or mode of transport.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97db69f548190a1a693bc0d6c191a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:43 p.m.