Triple
T9801372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basin City |
E237843
|
entity |
| Predicate | notableInhabitantsGroup |
P6481
|
FINISHED |
| Object | prostitutes of Old Town |
—
|
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: prostitutes of Old Town | Statement: [Basin City, notableInhabitantsGroup, prostitutes of Old Town]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableInhabitantsGroup Context triple: [Basin City, notableInhabitantsGroup, prostitutes of Old Town]
-
A.
hasNotableResident
Indicates that an entity is or has been a well-known or distinguished resident of a particular place or location.
-
B.
notableCharacterGroup
Indicates that a group of characters is especially prominent, significant, or noteworthy within a given context or work.
-
C.
inhabitedBy
chosen
Indicates that a place or location is lived in or occupied by a particular individual, group, or species.
-
D.
notableSpeciesGroup
Indicates that an entity is a significant or characteristic member of a particular species group associated with another entity.
-
E.
notableSpecies
Indicates that the subject is known for, or significantly associated with, the specified species.
- 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda62a11a88190880e0cce24923b14 |
completed | April 1, 2026, 11:11 p.m. |
| PD | Predicate disambiguation | batch_69cd03da45a88190b71b1be3354c15a6 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:29 p.m.