Triple
T28841164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 493 |
E728317
|
entity |
| Predicate | numberingSequencePosition |
P137790
|
FINISHED |
| Object | precedes Interstate 494 in numerical sequence |
—
|
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: precedes Interstate 494 in numerical sequence | Statement: [Interstate 493, numberingSequencePosition, precedes Interstate 494 in numerical sequence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberingSequencePosition Context triple: [Interstate 493, numberingSequencePosition, precedes Interstate 494 in numerical sequence]
-
A.
numberingStatus
Indicates the status or condition of an entity’s assigned number or numbering process (e.g., whether it has been numbered, is pending, or has a particular numbering state).
-
B.
hasSequencePosition
chosen
Indicates that an element occupies a specific position or order within a sequence.
-
C.
numberingType
Indicates the scheme or style used to assign sequential numbers or labels within an ordered set.
-
D.
numberingRole
Indicates a role or function that an entity plays in a numbering or sequencing system.
-
E.
numberingReason
Indicates the rationale or basis for assigning a particular number or numbering scheme to something.
- 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_69f0319e8e7c8190b37288c8845b9dbc |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69ff9e91bba08190af04b31ad815b13a |
completed | May 9, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69ff9e00e4808190bde8f07e6519a72c |
completed | May 9, 2026, 8:50 p.m. |
Created at: April 28, 2026, 6:40 a.m.