Triple
T14528522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L’Aurore (newspaper) |
E340841
|
entity |
| Predicate | locationOfFirstIssue |
P70450
|
FINISHED |
| Object | Paris |
E568
|
NE FINISHED |
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: [L’Aurore (newspaper), locationOfFirstIssue, Paris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paris Context triple: [L’Aurore (newspaper), locationOfFirstIssue, 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: locationOfFirstIssue Context triple: [L’Aurore (newspaper), locationOfFirstIssue, Paris]
-
A.
firstLocation
Indicates the initial or primary place where an entity is situated, originates, or where an event or relationship begins.
-
B.
positionOnIssue
Indicates the stance or viewpoint an entity holds regarding a specific issue or topic.
-
C.
firstSeriesLocation
chosen
Indicates the location where a series first took place, was set, or was initially released.
-
D.
firstAppearsAtLocation
Indicates the initial location where an entity is first observed, introduced, or comes into existence within a given context or sequence.
-
E.
firstEnumerationLocation
Indicates the location where an entity was first officially enumerated, recorded, or listed.
- F. None of above.
Provenance (4 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea051bc608190ad4d516c5e7bca43 |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94acd8288190a91bf09220126e13 |
completed | May 8, 2026, 7:45 a.m. |
| PD | Predicate disambiguation | batch_69de5c518fc08190a6ce4d8be05c4c5d |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:22 a.m.