Triple
T4605128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palsgraf v. Long Island Railroad Co. |
E100412
|
entity |
| Predicate | frequentlyCitedIn |
P46711
|
FINISHED |
| Object | U.S. tort law casebooks |
—
|
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: U.S. tort law casebooks | Statement: [Palsgraf v. Long Island Railroad Co., frequentlyCitedIn, U.S. tort law casebooks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frequentlyCitedIn Context triple: [Palsgraf v. Long Island Railroad Co., frequentlyCitedIn, U.S. tort law casebooks]
-
A.
isCitedFor
Indicates that one entity references another as a source of information, evidence, or authority for a specific claim, idea, or contribution.
-
B.
stillCitedFor
Indicates that a work or source continues to be referenced or relied upon as a citation after its original publication or use.
-
C.
citesAs
Indicates that one entity references or acknowledges another as a source of information, authority, or evidence.
-
D.
followsInBibliography
Indicates that one bibliographic entry directly succeeds another in the ordering of a bibliography or reference list.
-
E.
isFrequentlyIncludedIn
chosen
Indicates that something is regularly or commonly contained or made part of something else.
- 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5999f9c88190a43309573df61159 |
completed | March 20, 2026, 2:28 p.m. |
| PD | Predicate disambiguation | batch_69bd522e2d5c8190937d0b5574f78f99 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.