Triple
T30522102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SR 535 |
E776722
|
entity |
| Predicate | mayReferToMultiple |
P92520
|
FINISHED |
| Object | different state highways in different states |
—
|
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: different state highways in different states | Statement: [SR 535, mayReferToMultiple, different state highways in different states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayReferToMultiple Context triple: [SR 535, mayReferToMultiple, different state highways in different states]
-
A.
canReferToMultipleIndividuals
Indicates that a single reference, term, or identifier may correspond to more than one individual rather than uniquely identifying just one.
-
B.
alsoRefersTo
Indicates that one term, label, or identifier is used as an alternative designation for the same entity or concept as another.
-
C.
nameMayReferTo
chosen
Indicates that a given name or label can ambiguously denote or be used for one or more possible entities.
-
D.
mayReferMattersTo
Indicates that one party has the option or authority to direct or escalate certain issues, cases, or concerns to another party or body for consideration or action.
-
E.
oftenRefersTo
Indicates that one entity is frequently used to mention, denote, or reference another entity in common usage or context.
- 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6880b4a788190b7031f48ee4daf3a |
completed | May 2, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:17 p.m.