Triple
T8669023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sound Transit 3 |
E205748
|
entity |
| Predicate | modeIncluded |
P53912
|
FINISHED |
| Object | light rail |
—
|
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: light rail | Statement: [Sound Transit 3, modeIncluded, light rail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modeIncluded Context triple: [Sound Transit 3, modeIncluded, light rail]
-
A.
modeADescription
Indicates the descriptive text or explanation associated with a particular mode of operation or state.
-
B.
modeType
Indicates the specific manner, method, or operational mode in which an action, process, or system is carried out or functions.
-
C.
mode
Indicates the manner, method, or way in which an action, process, or interaction is carried out or occurs.
-
D.
modeBDescription
Indicates the descriptive label or explanation associated with a specific operational or behavioral mode B.
-
E.
mayIncludeFeature
chosen
Indicates that one entity is allowed or able to contain, incorporate, or be associated with a particular feature.
- 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_69ca83516ae88190aefe034b3bc589e3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48a48b548190b78259072b1224ee |
completed | March 31, 2026, 10:20 p.m. |
| PD | Predicate disambiguation | batch_69cc4564e018819081036722f3e42a71 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:31 p.m.