Triple
T38091597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fu-Hsing Semi Express |
E951128
|
entity |
| Predicate | serviceLevelComparedTo |
P195176
|
FINISHED |
| Object | slower than Tze-Chiang Limited Express |
—
|
NE NERFINISHED |
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: slower than Tze-Chiang Limited Express | Statement: [Fu-Hsing Semi Express, serviceLevelComparedTo, slower than Tze-Chiang Limited Express]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceLevelComparedTo Context triple: [Fu-Hsing Semi Express, serviceLevelComparedTo, slower than Tze-Chiang Limited Express]
-
A.
serviceLevelComparedToRB
Indicates how the service level of one entity compares to a defined reference baseline (RB), such as being higher, lower, or equal.
-
B.
serviceLevelComparedToRegional
Indicates how the service level of one entity compares to the typical or average service level within its surrounding region.
-
C.
serviceLevel
Indicates the degree or quality of service provided or received in the relationship between entities.
-
D.
serviceLevelComparedToIntercity
Indicates how the level or quality of a given service compares to that of an intercity service.
-
E.
serviceLevelComparedToConventionalExpress
Indicates how the service level of one option compares to that of conventional express services.
- 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_69f76f04960c8190a83f14ae4c67f5bc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fda94697c4819081291967202248be |
completed | May 8, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_69fda5973fcc8190a57daef31fb70a49 |
completed | May 8, 2026, 8:57 a.m. |
| PDg | Predicate description generation | batch_69fda945e1e08190bf923fcd4d2c548a |
completed | May 8, 2026, 9:13 a.m. |
Created at: May 3, 2026, 4:21 p.m.