Triple
T38091561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tze-Chiang Limited Express |
E951127
|
entity |
| Predicate | relativeRankInTRA |
P152574
|
FINISHED |
| Object | highest regular passenger service class |
—
|
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: highest regular passenger service class | Statement: [Tze-Chiang Limited Express, relativeRankInTRA, highest regular passenger service class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeRankInTRA Context triple: [Tze-Chiang Limited Express, relativeRankInTRA, highest regular passenger service class]
-
A.
rankComparedTo
Indicates the relative ordering or position of one entity in comparison to another based on a specified ranking criterion.
-
B.
rankIn
chosen
Indicates the relative position or level an entity holds within an ordered set, hierarchy, or competitive context.
-
C.
rankWithinOrganization
Indicates the relative hierarchical position or level an entity holds within a specific organization.
-
D.
relativePositionWithinTeam
Indicates the positional or hierarchical relationship an entity holds relative to other members within the same team.
-
E.
roleInRanking
Indicates that an entity holds a specific position or function within a particular ranking or ordered list.
- 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_69f76f04960c8190a83f14ae4c67f5bc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:21 p.m.