Triple
T28165037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laietania |
E715002
|
entity |
| Predicate | majorModernCityInRegion |
P48921
|
FINISHED |
| Object | Barcelona |
—
|
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: Barcelona | Statement: [Laietania, majorModernCityInRegion, Barcelona]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorModernCityInRegion Context triple: [Laietania, majorModernCityInRegion, Barcelona]
-
A.
majorTownInRegion
Indicates that a town is one of the principal or most significant towns within a specified region.
-
B.
capitalCityOfRegion
Indicates that a city serves as the official capital of a specified region, functioning as its primary administrative or governmental center.
-
C.
majorUrbanCenterIn
chosen
Indicates that a city or metropolitan area functions as a primary or significant urban center within the specified region or administrative unit.
-
D.
modernCityIs
Indicates that something possesses the characteristics or status of being a modern city.
-
E.
modernCityCorrespondsToCapital
Indicates that a modern city serves as, or corresponds to, the capital of a given political or administrative entity.
- 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_69efd6b156448190bfa15958208395c3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
Created at: April 27, 2026, 10:09 p.m.