Triple
T15851054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Measure R (Los Angeles County) |
E384337
|
entity |
| Predicate | fundsMode |
P154
|
FINISHED |
| Object | rail transit projects |
—
|
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: rail transit projects | Statement: [Measure R (Los Angeles County), fundsMode, rail transit projects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fundsMode Context triple: [Measure R (Los Angeles County), fundsMode, rail transit projects]
-
A.
funds
chosen
Indicates that one entity provides financial resources or monetary support to another entity or activity.
-
B.
fundingModel
Indicates how an entity is financially supported or sustained, such as through specific revenue sources, payment structures, or funding mechanisms.
-
C.
fundingFlexibility
Indicates the degree to which the terms, timing, or use of provided funds can be adjusted or reallocated without violating the original funding agreement.
-
D.
usedFund
Indicates that one entity expended or applied a particular fund or financial resource for some purpose.
-
E.
operatesFund
Indicates that an entity manages and runs the activities or investments of a particular fund.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142b976c081908d3ba3e705419f3a |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:50 a.m.