Triple
T25513113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States ZIP code system |
E639434
|
entity |
| Predicate | plus4Meaning |
P66017
|
FINISHED |
| Object | specific segment such as block, building, or high-volume receiver |
—
|
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: specific segment such as block, building, or high-volume receiver | Statement: [United States ZIP code system, plus4Meaning, specific segment such as block, building, or high-volume receiver]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plus4Meaning Context triple: [United States ZIP code system, plus4Meaning, specific segment such as block, building, or high-volume receiver]
-
A.
commonMeaning
Indicates that multiple entities share the same or very similar meaning or semantic interpretation.
-
B.
possibleMeaning
Indicates that something may plausibly represent, signify, or be interpreted as a particular meaning or sense.
-
C.
stringMeaning
Indicates that one entity represents the semantic content or interpretation of a given string associated with another entity.
-
D.
apMeaning
chosen
Indicates that one entity expresses, conveys, or signifies the meaning or semantic content of another entity.
-
E.
inspiredTermMeaning
Indicates that one term’s meaning is derived from, modeled after, or conceptually influenced by another term.
- 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_69e75dbe32e48190a62d749a0ff2a96a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f82fe30881909915c13a183be6c3 |
completed | May 2, 2026, 1:12 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 2:53 p.m.