Triple
T3870876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Artery |
E91981
|
entity |
| Predicate | formerlyConfiguration |
P51587
|
FINISHED |
| Object | elevated highway |
—
|
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: elevated highway | Statement: [Central Artery, formerlyConfiguration, elevated highway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerlyConfiguration Context triple: [Central Artery, formerlyConfiguration, elevated highway]
-
A.
formerState
Indicates that an entity previously held the status or condition of a particular state but no longer does so.
-
B.
formerName
Indicates that an entity was previously known by a different name in the past.
-
C.
formerUser
Indicates that an entity was previously a user of another entity or system but is no longer one.
-
D.
formerCategory
Indicates that an entity previously belonged to a given category but no longer does.
-
E.
formerField
Indicates that an entity previously had a particular field, role, or area of activity, but no longer does.
- 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_69aed9645f348190a9868e7cef56ab7e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec54b0848190a8d4a0e4df7b6227 |
completed | March 9, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69aee754dddc8190936e1f9c40a770db |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aee80858a481909961a33fb50ff8d1 |
completed | March 9, 2026, 3:32 p.m. |
Created at: March 9, 2026, 3:20 p.m.