Triple
T1081494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Executive Order 9981 |
E23955
|
entity |
| Predicate | hasOrderNumber |
P22578
|
FINISHED |
| Object | 9981 |
—
|
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: 9981 | Statement: [Executive Order 9981, hasOrderNumber, 9981]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOrderNumber Context triple: [Executive Order 9981, hasOrderNumber, 9981]
-
A.
hasOrder
Indicates that one entity possesses, is associated with, or is characterized by a specific order, sequence, or arrangement relative to others.
-
B.
isNumbered
chosen
Indicates that an entity has been assigned a specific number or position in an ordered sequence.
-
C.
numberOfOrders
Indicates the total count of orders associated with a given entity or context.
-
D.
orderFounded
Indicates that an organization or group was established or created at a specific time or by a specific entity.
-
E.
hasLayOrder
Indicates that one entity has issued, received, or is subject to a formal lay order associated with another 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b946af788190b400644a2dec68c3 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b73f4310819086281f8ec67d1a32 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.