Triple
T6607216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cai Rang Floating Market |
E149146
|
entity |
| Predicate | typicalTourDuration |
P72407
|
FINISHED |
| Object | about 3–4 hours |
—
|
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: about 3–4 hours | Statement: [Cai Rang Floating Market, typicalTourDuration, about 3–4 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalTourDuration Context triple: [Cai Rang Floating Market, typicalTourDuration, about 3–4 hours]
-
A.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
B.
pilotTourLength
Indicates the duration or total length of a pilot’s tour, assignment, or rotation.
-
C.
voyageDuration
Indicates the length of time that a voyage or journey lasts from its start to its end.
-
D.
typicalRecordingDuration
Indicates the usual or standard length of time that something is recorded.
-
E.
banDurationApproximate
Indicates that the duration of a ban is known only approximately rather than as an exact, precise time period.
- 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_69c687eaa7508190bb58ce2aa02039b3 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cf3796d08190a26e988386089447 |
completed | March 27, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69c6acfed25481909cac74c84a9fe088 |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6cf3683d08190b19e2aad30f2800f |
completed | March 27, 2026, 6:40 p.m. |
Created at: March 27, 2026, 1:57 p.m.