Triple
T3745935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metro Micro |
E81210
|
entity |
| Predicate | tripLengthFocus |
P22194
|
FINISHED |
| Object | short local trips |
—
|
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: short local trips | Statement: [Metro Micro, tripLengthFocus, short local trips]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tripLengthFocus Context triple: [Metro Micro, tripLengthFocus, short local trips]
-
A.
trailLengthApprox
Indicates an approximate measurement of the total length of a trail.
-
B.
travelTimeCategory
chosen
Indicates the qualitative classification of how long a given travel or trip duration is (e.g., short, medium, long).
-
C.
distanceTraveled
Indicates the total length of the path an entity has moved over a period of time or between two points.
-
D.
lengthInKm
Indicates that one entity specifies the length or distance of another entity measured in kilometers.
-
E.
flightDuration
Indicates the length of time that a specific flight takes from departure to arrival.
- 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_69ad8b19b7b08190a6188804e99c53e9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb680ddc819094205beb342699f9 |
completed | March 8, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69adc04adebc819088d7f36d0ac343a6 |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.