Triple
T20220319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alabama’s 5th congressional district |
E495233
|
entity |
| Predicate | notableIndustryCluster |
P133571
|
FINISHED |
| Object | defense contractors |
—
|
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: defense contractors | Statement: [Alabama’s 5th congressional district, notableIndustryCluster, defense contractors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableIndustryCluster Context triple: [Alabama’s 5th congressional district, notableIndustryCluster, defense contractors]
-
A.
notableIndustryInArea
chosen
Indicates that a particular industry is especially prominent, significant, or well-known within a given geographic area.
-
B.
notableIndustry
Indicates that an entity is significantly recognized or prominent within a specified industry or sector.
-
C.
notableSector
Indicates that an entity is particularly prominent, influential, or significant within a specified sector or industry.
-
D.
isPartOfEconomicCluster
Indicates that an entity belongs to, or is included within, a larger economic cluster or grouping based on economic relationships or activities.
-
E.
notableBusinessType
Indicates that an entity is notably associated with, characterized by, or best known for a particular type of business.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66edc88148190b003b72eb4c69da5 |
completed | April 20, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69e55b18609481909ab28bc8750a642f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:39 p.m.