Triple
T1289233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Heritage Committee |
E27506
|
entity |
| Predicate | holdsSessionType |
P983
|
FINISHED |
| Object | ordinary session |
—
|
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: ordinary session | Statement: [World Heritage Committee, holdsSessionType, ordinary session]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holdsSessionType Context triple: [World Heritage Committee, holdsSessionType, ordinary session]
-
A.
sessionType
chosen
Indicates the classification or category of a particular session based on its purpose, format, or context.
-
B.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
C.
hasActivityType
Indicates the specific kind or category of activity associated with an entity or event.
-
D.
hasOpeningType
Indicates that one entity has, features, or is characterized by a particular type or kind of opening.
-
E.
hasCampType
Indicates that an entity is associated with or classified by a particular type or category of camp.
- 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_69a496d4ec448190ad653b2590c46711 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0d4dfb081908c8825d6062b1d99 |
completed | March 1, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69a4bee41ca08190b0ad6f7ea40c0b62 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.