Triple
T9739121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City Water Tunnel No. 1 |
E236140
|
entity |
| Predicate | transportedMaterial |
P49903
|
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: [New York City Water Tunnel No. 1, transportedMaterial, potable water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportedMaterial Context triple: [New York City Water Tunnel No. 1, transportedMaterial, potable water]
-
A.
materialTransportedTo
chosen
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.
mainCargo
Indicates that one entity serves as the primary or principal cargo carried or transported by another entity.
-
D.
transportedAfter
Indicates that one entity is transported only after the transportation of another entity has occurred in time.
-
E.
transportedOver
Indicates that something is moved or carried across or along a specified medium, route, or surface.
- 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_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9ef43fec8190987628f401a27436 |
completed | April 1, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69cd03cc128c81908b84ef224f858b4e |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:22 p.m.