Triple
T15062437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pennsylvania state highway system |
E379662
|
entity |
| Predicate | hasLegalName |
P74238
|
FINISHED |
| Object | Commonwealth-maintained highway system of Pennsylvania |
—
|
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: Commonwealth-maintained highway system of Pennsylvania | Statement: [Pennsylvania state highway system, hasLegalName, Commonwealth-maintained highway system of Pennsylvania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegalName Context triple: [Pennsylvania state highway system, hasLegalName, Commonwealth-maintained highway system of Pennsylvania]
-
A.
hasUnderlyingLegalName
chosen
Indicates that an entity is associated with a specific official legal name that underlies or formally represents it.
-
B.
canBeLegalGivenName
Indicates that a given name satisfies the rules or conditions required to be considered legally valid.
-
C.
hasArtistLegalName
Indicates that an artist entity is associated with a specific legal (real) name used for official or formal purposes.
-
D.
hasProperName
Indicates that an entity is associated with a specific proper name used to uniquely identify it.
-
E.
hasLegalStatus
Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee6a55c8190b40c4672fb46b79b |
completed | April 15, 2026, 12:42 a.m. |
| PD | Predicate disambiguation | batch_69deb95a182081908fffc4402b02a394 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:02 a.m.