Triple
T12609663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Man's Land |
E301077
|
entity |
| Predicate | preIncorporationLaw |
P81804
|
FINISHED |
| Object | federal law applied imperfectly |
—
|
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: federal law applied imperfectly | Statement: [No Man's Land, preIncorporationLaw, federal law applied imperfectly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preIncorporationLaw Context triple: [No Man's Land, preIncorporationLaw, federal law applied imperfectly]
-
A.
statusBeforeIncorporation
chosen
Indicates the legal or organizational status an entity held prior to its formal incorporation.
-
B.
incorporationAfter
Indicates that one entity is incorporated or formally established at a later time than another entity.
-
C.
preambleIncorporatedInto
Indicates that a preamble has been formally included as part of a larger legal or constitutional document.
-
D.
initiallyNotIncorporatedAgainst
Indicates that an entity was originally not included or applied in relation to another entity or context at the initial point in time.
-
E.
laterIncorporatedInto
Indicates that one entity was subsequently merged into, absorbed by, or formally made part of another entity at a later time.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9559458dc8190bc4d6e697e99d70e |
completed | April 10, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69d9541894fc8190a0c3706a414279f0 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5:11 p.m.