Triple
T6425571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phenix City |
E128049
|
entity |
| Predicate | hasHistoricalReputationFor |
P38276
|
FINISHED |
| Object | mid-20th century organized crime |
—
|
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: mid-20th century organized crime | Statement: [Phenix City, hasHistoricalReputationFor, mid-20th century organized crime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricalReputationFor Context triple: [Phenix City, hasHistoricalReputationFor, mid-20th century organized crime]
-
A.
hasReputationAmong
Indicates that an entity is regarded or perceived in a particular way by a specified group or audience.
-
B.
hasQuirkyReputation
Indicates that an entity is regarded by others as having an unusual, eccentric, or unconventional character or style.
-
C.
scoringReputation
Indicates that one entity evaluates and assigns a reputation-related score to another entity based on its behavior or performance.
-
D.
hasNotableReputation
chosen
Indicates that an entity is widely recognized or distinguished for a particular quality, achievement, or characteristic.
-
E.
associatedWithReputation
Indicates a relationship where an entity is linked to, influenced by, or characterized in terms of another entity’s reputation or perceived standing.
- 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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0691e2e708190a9198cf61f92c6c2 |
completed | March 22, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69c060f780b08190aa650b4d1fc51f21 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:43 p.m.