Triple
T9008244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aviation/Century station |
E215398
|
entity |
| Predicate | hasConnectionRole |
P33918
|
FINISHED |
| Object | access point to LAX area transit services |
—
|
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: access point to LAX area transit services | Statement: [Aviation/Century station, hasConnectionRole, access point to LAX area transit services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConnectionRole Context triple: [Aviation/Century station, hasConnectionRole, access point to LAX area transit services]
-
A.
connectsRole
Indicates a relationship in which one entity is linked to another by assigning or associating a specific role between them.
-
B.
hasContactRole
Indicates that an entity serves in a specific role or capacity as a contact for another entity.
-
C.
hasRole
Indicates that an entity occupies, performs, or is assigned a specific role or function in relation to another entity or context.
-
D.
hasLegalRole
Indicates that an entity holds a specific legal capacity, status, or function in relation to another entity or context.
-
E.
hasRoleInNetwork
chosen
Indicates that an entity holds a specific functional position or responsibility within a particular network.
- 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69bed8588190afc9cbca12b75a3b |
completed | April 1, 2026, 12:41 a.m. |
| PD | Predicate disambiguation | batch_69cc5edf84408190aa5f57cb8bfd00e1 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:06 p.m.