Triple
T21278470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faubourg Saint-Marcel |
E524452
|
entity |
| Predicate | partOfUrbanHistoryOf |
P1451
|
FINISHED |
| Object | Paris |
—
|
NE NERFINISHED |
How this triple was built (3 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: Paris | Statement: [Faubourg Saint-Marcel, partOfUrbanHistoryOf, Paris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paris Context triple: [Faubourg Saint-Marcel, partOfUrbanHistoryOf, Paris]
-
A.
Paris
chosen
Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
-
B.
Paris
Paris is a prince of Troy in Greek mythology, best known for judging the beauty contest of the goddesses and for abducting Helen, which sparked the Trojan War.
-
C.
Paris
Paris is a major Chilean department store and retail chain offering a wide range of apparel, home goods, and consumer products.
-
D.
Paris
Paris is a budget-oriented AMD Sempron processor core designed for entry-level desktop computing.
-
E.
Paris
Paris was an enslaved man held in bondage by George Washington at the President's House in Philadelphia during his presidency.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfUrbanHistoryOf Context triple: [Faubourg Saint-Marcel, partOfUrbanHistoryOf, Paris]
-
A.
urbanHistoryFeature
Indicates a feature that plays a significant role in the historical development, events, or evolution of an urban area.
-
B.
focusCityHistory
Indicates that there is a historical or context-defining relationship between a focal city and its past events, developments, or status.
-
C.
partOfHistoryOf
chosen
Indicates that one entity forms a component, episode, or contributing element within the historical development or narrative of another entity.
-
D.
partOfHistoricalArea
Indicates that one entity is located within or belongs to a designated historical area or heritage zone.
-
E.
passesHistoricCity
Indicates that a route, path, or entity travels through or goes by a city recognized for its historical significance.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73658f598819098a1192abfa40a12 |
completed | April 21, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69e5f6161dac8190b06009cd180e3ff7 |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 16, 2026, 4:02 p.m.