Triple
T27357410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 895 (cancelled) in Massachusetts |
E685721
|
entity |
| Predicate | isNumberReused |
P85964
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Interstate 895 (cancelled) in Massachusetts, isNumberReused, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNumberReused Context triple: [Interstate 895 (cancelled) in Massachusetts, isNumberReused, no]
-
A.
previouslyUsedNumberDesignationsUntil
Indicates that certain number designations were used for an entity up until a specified point in time, after which they were no longer in use.
-
B.
carNumberUsed
Indicates that a specific car number has been used or assigned in a given context or event.
-
C.
notReusedFor
chosen
Indicates that something is not used again for a subsequent purpose, context, or instance.
-
D.
isNumberedBy
Indicates that an entity is assigned, identified, or organized by a specific number or numbering scheme.
-
E.
reusedIn
Indicates that something previously used in one context or instance is used again in another context or instance.
- 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_69ef14887c288190931b8431fdbf53c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f62cd2ceb481908cd9fae52a542206 |
completed | May 2, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 11:52 a.m.