Triple
T22695354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Future Circular Collider |
E561158
|
entity |
| Predicate | timelineGoal |
P38657
|
FINISHED |
| Object | operation in the second half of the 21st century (indicative) |
—
|
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: operation in the second half of the 21st century (indicative) | Statement: [Future Circular Collider, timelineGoal, operation in the second half of the 21st century (indicative)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timelineGoal Context triple: [Future Circular Collider, timelineGoal, operation in the second half of the 21st century (indicative)]
-
A.
goalHorizon
chosen
Indicates the temporal or planning horizon within which a goal is intended to be pursued or achieved.
-
B.
goalType
Indicates the specific category or nature of a goal associated with an entity or action.
-
C.
legacyGoal
Indicates that an entity has a long-term, enduring objective or impact it aims to leave behind beyond its immediate actions or existence.
-
D.
goalStructure
Indicates the overarching objective or intended outcome that organizes and guides the structure of related actions, components, or relationships.
-
E.
goals
Indicates that an entity has objectives, targets, or desired outcomes it aims to achieve.
- 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789e05d88190b9d51bb3f8e3e9d4 |
completed | April 29, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69ee62bd657c81909f7b01245b080a5f |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:14 p.m.