Triple
T32519246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intellectual Property Constituency |
E831137
|
entity |
| Predicate | hasPrimaryInterest |
P44657
|
FINISHED |
| Object | intellectual property protection in gTLDs |
—
|
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: intellectual property protection in gTLDs | Statement: [Intellectual Property Constituency, hasPrimaryInterest, intellectual property protection in gTLDs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryInterest Context triple: [Intellectual Property Constituency, hasPrimaryInterest, intellectual property protection in gTLDs]
-
A.
primaryInterest
chosen
Indicates that one entity is the main or most significant focus of attention, concern, or engagement for another entity.
-
B.
hasHumanInterest
Indicates that something is of particular relevance, appeal, or concern to people, often engaging their emotions, curiosity, or personal experiences.
-
C.
hasPrimarySubject
Indicates that an entity is the main or principal subject associated with another entity or resource.
-
D.
subjectInterest
Indicates that the subject has an interest in, or is concerned with, the object.
-
E.
hasInterestType
Indicates that an entity is associated with a specific category or type of interest it holds or is concerned with.
- 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_69f34923e1548190be0524205d8cdf8f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a00d08e8fac8190b59359134e6e1c03 |
completed | May 10, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_6a00d0127c088190a6f5b360450af113 |
completed | May 10, 2026, 6:36 p.m. |
Created at: May 1, 2026, 1 a.m.