Triple
T29369241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shendu Highway depot |
E744807
|
entity |
| Predicate | servesRoleInNetwork |
P33918
|
FINISHED |
| Object | operations support for Line 8 |
—
|
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: operations support for Line 8 | Statement: [Shendu Highway depot, servesRoleInNetwork, operations support for Line 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesRoleInNetwork Context triple: [Shendu Highway depot, servesRoleInNetwork, operations support for Line 8]
-
A.
servesRole
Indicates that one entity performs, fulfills, or occupies a particular function, position, or responsibility in relation to another entity.
-
B.
hasRoleInNetwork
chosen
Indicates that an entity holds a specific functional position or responsibility within a particular network.
-
C.
hasOrganizationalRole
Indicates that an entity holds a specific role, position, or function within an organization.
-
D.
connectsRole
Indicates a relationship in which one entity is linked to another by assigning or associating a specific role between them.
-
E.
isPartOfNetworkServing
Indicates that one entity functions as a component within, or is supported by, a particular network that provides services to it or through it.
- 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_69f0a79ba954819094597628112c6091 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
Created at: April 28, 2026, 2:25 p.m.