Triple
T1491199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Information Doesn’t Want to Be Free |
E29582
|
entity |
| Predicate | positionOnLicensing |
P28591
|
FINISHED |
| Object | favors flexible licensing models |
—
|
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: favors flexible licensing models | Statement: [Information Doesn’t Want to Be Free, positionOnLicensing, favors flexible licensing models]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnLicensing Context triple: [Information Doesn’t Want to Be Free, positionOnLicensing, favors flexible licensing models]
-
A.
positionEstablishedIn
Indicates the point in time or event when a particular position, role, or office was formally created or instituted.
-
B.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
C.
positionEligible
Indicates that an entity is qualified or permitted to hold or be assigned to a particular position or role.
-
D.
positionInState
Indicates that one entity occupies or holds a specific position, role, or status within a particular state or condition of another entity.
-
E.
positionOnLaw
Indicates a stance, opinion, or interpretation that an entity holds regarding a specific law or legal provision.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6c3ace4819081bc2b86ee2486b6 |
completed | March 1, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69a4c48902808190a8028d359bcf123e |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c52c703c8190a56389b09d97659f |
completed | March 1, 2026, 11:01 p.m. |
Created at: March 1, 2026, 8:12 p.m.