Triple
T1916484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Ryan Expressway |
E40028
|
entity |
| Predicate | underwentMajorReconstruction |
P24909
|
FINISHED |
| Object | 2006–2007 |
—
|
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: 2006–2007 | Statement: [Dan Ryan Expressway, underwentMajorReconstruction, 2006–2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: underwentMajorReconstruction Context triple: [Dan Ryan Expressway, underwentMajorReconstruction, 2006–2007]
-
A.
largelyRebuilt
Indicates that an entity has been substantially reconstructed or renovated, with most of its original structure replaced or significantly altered.
-
B.
eraOfMajorConstruction
Indicates the time period during which the primary or most significant phase of construction for an entity took place.
-
C.
hasReconstructionWork
Indicates that an entity is undergoing, has undergone, or is associated with reconstruction or restoration work.
-
D.
reconstructedDuring
chosen
Indicates that an entity was rebuilt, restored, or significantly repaired within a specified time period or event.
-
E.
reconstructionOrRestorationDate
Indicates the date on which an entity was reconstructed or restored after damage, alteration, or deterioration.
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb20f54848190b9457e1231aa49db |
completed | March 7, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69abafed2ab481908920334e77b1021b |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.