Triple
T5238096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2010 United Nations Climate Change Conference |
E118272
|
entity |
| Predicate | numberOfPartiesInUNFCCC |
P34865
|
FINISHED |
| Object | 194 |
—
|
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: 194 | Statement: [2010 United Nations Climate Change Conference, numberOfPartiesInUNFCCC, 194]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPartiesInUNFCCC Context triple: [2010 United Nations Climate Change Conference, numberOfPartiesInUNFCCC, 194]
-
A.
hasNumberOfParties
chosen
Indicates the total count of distinct parties or participants involved in a given relationship, agreement, or event.
-
B.
numberOfMainCommittees
Indicates the total count of primary or main committees associated with an entity.
-
C.
numberOfParticipatingCities
Indicates the total count of cities that take part in a specified event, program, or activity.
-
D.
numberOfNGOsRepresented
Indicates the count of distinct non-governmental organizations that are represented in a given context or entity.
-
E.
numberOfParliaments
Indicates the count of distinct parliaments associated with or relevant to a given 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b27990c8190b6a3c24de09c8c18 |
completed | March 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69bd77c1397c8190a7fd844d7a396e54 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:49 p.m.