Triple
T8048398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tehran–Karaj corridor |
E187611
|
entity |
| Predicate | planningConcern |
P72002
|
FINISHED |
| Object | metropolitan coordination between Tehran and Karaj |
—
|
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: metropolitan coordination between Tehran and Karaj | Statement: [Tehran–Karaj corridor, planningConcern, metropolitan coordination between Tehran and Karaj]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: planningConcern Context triple: [Tehran–Karaj corridor, planningConcern, metropolitan coordination between Tehran and Karaj]
-
A.
planning
Indicates that an entity is engaged in organizing or devising a future action, event, or course of behavior involving another entity or entities.
-
B.
strategicConcernFor
Indicates a relationship where one entity considers another entity’s situation, actions, or outcomes important for its own long-term goals, risks, or strategic interests.
-
C.
hasPlanningIssue
chosen
Indicates that an entity is associated with a problem, concern, or complication related to planning or plan formulation.
-
D.
concernsProblem
Indicates that something is about, related to, or deals with a particular problem or issue.
-
E.
decisionsConcern
Indicates that certain decisions are about, relate to, or focus on a particular subject, issue, or entity.
- 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_69ca82b15e948190a62fd7af5218426a |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f7711f48190af2002533c2e426a |
completed | March 31, 2026, 3:28 a.m. |
| PD | Predicate disambiguation | batch_69cb049a1b9c8190811c396421ebf9c9 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:24 p.m.