Triple
T15922729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris to Dakar |
E386131
|
entity |
| Predicate | locatedInCountryAtStart |
P103056
|
FINISHED |
| Object | France |
E861
|
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: France | Statement: [Paris to Dakar, locatedInCountryAtStart, France]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: France Context triple: [Paris to Dakar, locatedInCountryAtStart, France]
-
A.
France
chosen
France is a major Western European nation known for its influential history, culture, and economy, and as a founding member of the European Union and the United Nations.
-
B.
La France
La France is a renowned sculpture by French artist Antoine Bourdelle that powerfully symbolizes the spirit and identity of France.
-
C.
Francia
Francia is the surname of American rower and two-time Olympic gold medalist Susan Francia.
-
D.
Pays Royannais
Pays Royannais is a coastal area in southwestern France centered around the town of Royan, known for its seaside resorts and Atlantic beaches.
-
E.
de France
"de France" is a dynastic surname historically used by members of the French royal family, particularly the legitimate children of reigning kings of France.
- 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: locatedInCountryAtStart Context triple: [Paris to Dakar, locatedInCountryAtStart, France]
-
A.
locationCountryAtTheTime
chosen
Indicates that an entity was located in a specified country during a particular time or time period.
-
B.
locatedInCountryDuringEvent
Indicates that an entity was situated within a specific country for the duration or at the time of a particular event.
-
C.
projectCountryAtTheTime
Indicates the country with which a project was associated at the specific time or period in question.
-
D.
isLocatedInPresentDayCountry
Indicates that an entity’s location is specified in terms of the modern, currently recognized country that encompasses it.
-
E.
hasFormerCountry
Indicates that an entity was previously part of, or belonged to, a country that no longer exists in its former political form.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e172b48b308190bc430b2308cbc75b |
completed | April 16, 2026, 11:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe7055a48190b0f426f3e3c22f9d |
completed | May 9, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69e142cf5c548190a931f7b58144cd31 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.