Triple
T1857508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City distribution tunnels |
E41736
|
entity |
| Predicate | pressureType |
P33637
|
FINISHED |
| Object | pressurized water tunnels |
—
|
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: pressurized water tunnels | Statement: [New York City distribution tunnels, pressureType, pressurized water tunnels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pressureType Context triple: [New York City distribution tunnels, pressureType, pressurized water tunnels]
-
A.
pressurization
Indicates the process of applying or maintaining pressure on or within an object, system, or environment.
-
B.
surfacePressure
Indicates the pressure exerted by a fluid (such as air or water) on the surface of an object or body.
-
C.
pressureAtBottom
Indicates that a specified amount of pressure is exerted or present at the bottom of a given object, container, or region.
-
D.
overallPressureRatio
Indicates the ratio between the total outlet pressure and the total inlet pressure across a component or system, reflecting how much the pressure is increased or decreased overall.
-
E.
forceType
Indicates the specific kind or category of force involved in an interaction or event (e.g., physical, legal, military, or other defined force classifications).
- 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb231de14819091da3a20ed03c430 |
completed | March 7, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69abafde4598819099d8229128348fd3 |
completed | March 7, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69abb22f36f08190abf5e295ddf310d7 |
completed | March 7, 2026, 5:05 a.m. |
Created at: March 4, 2026, 7:33 p.m.