Triple
T29610806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audrey in Rome |
E754713
|
entity |
| Predicate | cityOfSubject |
P136244
|
FINISHED |
| Object | Rome |
—
|
NE NERFINISHED |
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: Rome | Statement: [Audrey in Rome, cityOfSubject, Rome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityOfSubject Context triple: [Audrey in Rome, cityOfSubject, Rome]
-
A.
cityOfReference
Indicates that one entity serves as the primary or official city associated with, or used as a reference point for, another entity.
-
B.
cityIs
Indicates that one entity is a city associated with, or identified as, another entity.
-
C.
primaryLocationCity
chosen
Indicates the city that serves as the main or primary location associated with the subject.
-
D.
representedCity
Indicates that an entity serves as the official representative or proxy for a particular city.
-
E.
homeCityIsSeatOf
Indicates that the person’s home city serves as the administrative or governmental seat (e.g., capital) of a larger region such as a state, province, or country.
- 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_69f0ef85f62081909842b59fdf8717e1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 28, 2026, 6:28 p.m.