Triple
T36904845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 676 in New Jersey |
E912741
|
entity |
| Predicate | hasNumberingType |
P3378
|
FINISHED |
| Object | three-digit auxiliary Interstate |
—
|
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: three-digit auxiliary Interstate | Statement: [Interstate 676 in New Jersey, hasNumberingType, three-digit auxiliary Interstate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberingType Context triple: [Interstate 676 in New Jersey, hasNumberingType, three-digit auxiliary Interstate]
-
A.
hasNumberingRole
Indicates that an entity holds a specific role or responsibility related to assigning, managing, or using numbers within a given context.
-
B.
hasNumberingWithin
Indicates that one entity assigns or follows a specific numbering scheme within the scope or structure of another entity.
-
C.
hasNumberingFormat
Indicates that an entity uses or is associated with a particular scheme or style for numbering items, elements, or positions.
-
D.
numberingType
chosen
Indicates the scheme or style used to assign sequential numbers or labels within an ordered set.
-
E.
hasNumberingComputation
Indicates that an entity is associated with a process or method used to compute or determine its numbering.
- 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_69f76e879768819085c2fb31a6a5b44b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff1d85441c8190931e758685a269f7 |
completed | May 9, 2026, 11:41 a.m. |
| PD | Predicate disambiguation | batch_69ff1d186cc48190b315c61e23de6551 |
completed | May 9, 2026, 11:40 a.m. |
Created at: May 3, 2026, 4:13 p.m.