Triple
T1634074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | X Development LLC |
E35323
|
entity |
| Predicate | selectionCriteriaForProjects |
P136
|
FINISHED |
| Object | large-scale global impact |
—
|
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: large-scale global impact | Statement: [X Development LLC, selectionCriteriaForProjects, large-scale global impact]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectionCriteriaForProjects Context triple: [X Development LLC, selectionCriteriaForProjects, large-scale global impact]
-
A.
selectionCriteria
chosen
Indicates the conditions or rules used to choose certain entities from a larger set.
-
B.
eligibleProject
Indicates that a project satisfies the required conditions or criteria to qualify for a particular status, process, or benefit.
-
C.
selectionProcess
Indicates the procedure or set of steps by which one or more options are evaluated and chosen from a larger set of candidates.
-
D.
selectionFrom
Indicates that one entity is chosen as a member or subset from a larger set or collection represented by another entity.
-
E.
comparableProjects
Indicates that two projects are sufficiently similar in relevant characteristics (such as scope, domain, or metrics) to be meaningfully compared or benchmarked against each other.
- 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_69a886036bc081909ff5de16dbe5e8ea |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a96083e7308190abbf025fe8e43abb |
completed | March 5, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69a907cac610819083cafd4396b6d66c |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.