Triple
T3231193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugène Eyraud |
E67742
|
entity |
| Predicate | firstEuropeanToVisitEasterIslandPermanently |
P26520
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
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: true | Statement: [Eugène Eyraud, firstEuropeanToVisitEasterIslandPermanently, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstEuropeanToVisitEasterIslandPermanently Context triple: [Eugène Eyraud, firstEuropeanToVisitEasterIslandPermanently, true]
-
A.
firstLandingOnAuyánTepuiBy
Indicates that the referenced entity is the person or group who made the first recorded landing on Auyán Tepui.
-
B.
firstPermanentSettler
chosen
Indicates that the subject is the earliest individual or group to establish a lasting, continuous residence in the location or entity specified by the object.
-
C.
yearOfEuropeanExploration
Indicates the specific year in which a European exploration of the referenced entity took place.
-
D.
earlyExplorer
Indicates that an entity explored or investigated a place, field, or subject significantly earlier than most others.
-
E.
firstContactWithEuropeans
Indicates that this marks the initial recorded encounter or interaction between a group and European people.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaed99d2c8190950fa883ec6f1f8e |
completed | March 8, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0dc2248190a38c40f4e06cd41c |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:08 p.m.