Triple
T34774114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Land and Liberty |
E1002452
|
entity |
| Predicate | secretOrPublic |
P181600
|
FINISHED |
| Object | secret |
—
|
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: secret | Statement: [Land and Liberty, secretOrPublic, secret]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secretOrPublic Context triple: [Land and Liberty, secretOrPublic, secret]
-
A.
publicOrPrivate
Indicates whether something is designated as publicly accessible or restricted to private use or access.
-
B.
isPrivateOrPublic
Indicates whether something is designated as private or public in terms of its accessibility or visibility.
-
C.
secretDetail
Indicates that one entity reveals or contains confidential or hidden information about another entity or situation.
-
D.
secretedBy
Indicates that a substance or product is released or produced by a particular cell, tissue, organ, or organism.
-
E.
secretRevealed
Indicates that previously hidden or confidential information has been disclosed to one or more parties.
- F. None of above. chosen
Provenance (4 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_69f76db30a108190bb57ca95b873e5bb |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
| PDg | Predicate description generation | batch_69f77ff804f08190b431a31e6179ace4 |
completed | May 3, 2026, 5:03 p.m. |
Created at: May 3, 2026, 3:59 p.m.