Triple
T2557368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Double Eleven |
E56756
|
entity |
| Predicate | typeOfPartnerWork |
P19448
|
FINISHED |
| Object | co-development |
—
|
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: co-development | Statement: [Double Eleven, typeOfPartnerWork, co-development]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfPartnerWork Context triple: [Double Eleven, typeOfPartnerWork, co-development]
-
A.
hasPartnershipType
Indicates the specific kind or category of partnership relationship that exists between entities.
-
B.
cooperationType
chosen
Indicates the specific kind or form of cooperative relationship that exists between the related entities.
-
C.
partOfWorkType
Indicates that something is a component, subtype, or specific category within a broader type of work.
-
D.
cooperationPartner
Indicates that two entities are engaged in a collaborative relationship, working together toward shared goals or mutual benefit.
-
E.
typeOfWork
Indicates the kind or category of work associated with or performed by an entity.
- 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd35c6ee88190b6eaa1841d3e99a4 |
completed | March 7, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69abd0caeb488190b0dd8e48d0f2777d |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.