Triple
T15267086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 182 |
E364926
|
entity |
| Predicate | isShortForClass |
P117888
|
FINISHED |
| Object | auxiliary Interstate 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: auxiliary Interstate Highway | Statement: [Interstate 182, isShortForClass, auxiliary Interstate Highway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isShortForClass Context triple: [Interstate 182, isShortForClass, auxiliary Interstate Highway]
-
A.
isShort
Indicates that one entity has a relatively small height, length, or duration compared to a standard or to other entities.
-
B.
isShortFormOfMultiNames
Indicates that one term is a shortened or abbreviated form corresponding to multiple different full names.
-
C.
hasShort
Indicates that an entity possesses or is characterized by something of short length or duration.
-
D.
hasShortFormRelationType
Indicates that one entity serves as an abbreviated, shortened, or acronym form of another entity.
-
E.
isAbbreviation
Indicates that one term is a shortened or abbreviated form of another term.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0094ca9ac8190a1f97a7b74c96cd5 |
completed | April 15, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69deca90739081909bd1b797cdb8af2b |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2ca6148190967c319728ec3661 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:14 a.m.