Triple
T17046102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitchellville, Iowa |
E413571
|
entity |
| Predicate | hasGenderSpecificPrison |
P19110
|
FINISHED |
| Object | women |
—
|
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: women | Statement: [Mitchellville, Iowa, hasGenderSpecificPrison, women]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenderSpecificPrison Context triple: [Mitchellville, Iowa, hasGenderSpecificPrison, women]
-
A.
hasInmateGender
Indicates that an inmate possesses a specified gender.
-
B.
prisonType
chosen
Indicates the specific category or classification of a prison associated with an entity.
-
C.
hasGenderDistinction
Indicates that a relationship, classification, or linguistic form differentiates entities based on gender categories.
-
D.
hasPerpetratorGender
Indicates that an action, event, or offense is associated with the specified gender of the perpetrator.
-
E.
hasGenderSystem
Indicates that an entity employs or is characterized by a particular system for categorizing gender.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3da9e3d8881909f197aba0e4c97e7 |
completed | April 18, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69e35d60a588819084f53ef9f8b2e7c0 |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.