Triple
T8181418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line H depot |
E191069
|
entity |
| Predicate | associatedWithMode |
P81301
|
FINISHED |
| Object | metro |
—
|
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: metro | Statement: [Line H depot, associatedWithMode, metro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithMode Context triple: [Line H depot, associatedWithMode, metro]
-
A.
associatedWithMatch
Indicates a relationship where an entity is linked or connected to a particular match or matching event.
-
B.
associatedWithAssociation
Indicates a relationship where an entity is linked or connected to a particular association or organization.
-
C.
associatedWithCondition
Indicates that an entity has a relevant connection or linkage to a particular condition (such as a disease, state, or circumstance), without specifying the nature or strength of that connection.
-
D.
associatedWithFront
Indicates a relationship where one entity is linked or connected specifically to the front part, side, or face of another entity.
-
E.
associatedWithAction
Indicates a general relationship where an entity is linked or connected to a particular action, without specifying the nature or direction of that involvement.
- 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_69ca82c4538081909404325aa5639483 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c4c2e388190b86854f8b1765e61 |
completed | March 31, 2026, 4:23 a.m. |
| PD | Predicate disambiguation | batch_69cb36a7952481908f34e3e82f375a84 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb45503eec8190aeef0da6c3324710 |
completed | March 31, 2026, 3:53 a.m. |
Created at: March 30, 2026, 5:40 p.m.