Triple
T33026216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | crossing of the Rub' al Khali |
E845048
|
entity |
| Predicate | explorerProfession |
P16840
|
FINISHED |
| Object | explorer |
—
|
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: explorer | Statement: [crossing of the Rub' al Khali, explorerProfession, explorer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: explorerProfession Context triple: [crossing of the Rub' al Khali, explorerProfession, explorer]
-
A.
explorer
chosen
Indicates that an entity engages in the activity of exploring or investigating places, ideas, or domains.
-
B.
explorerFullName
Indicates that the predicate specifies the complete personal name of an explorer.
-
C.
visionaryOccupation
Indicates that an entity holds an occupation or role characterized by forward-thinking, innovative, or visionary activities or responsibilities.
-
D.
otherProtagonistOccupation
Indicates that another main character in the narrative has a specific occupation or job role.
-
E.
explorerDesignation
Indicates that an entity has been assigned a specific role, title, or status as an explorer.
- 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_69f34950749c8190ae05cd27adb16d58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:23 a.m.