Triple
T6100148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Man of the Sea |
E135972
|
entity |
| Predicate | firstEncounterLocation |
P61227
|
FINISHED |
| Object | an island visited by Sinbad |
—
|
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: an island visited by Sinbad | Statement: [Old Man of the Sea, firstEncounterLocation, an island visited by Sinbad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstEncounterLocation Context triple: [Old Man of the Sea, firstEncounterLocation, an island visited by Sinbad]
-
A.
firstLocation
Indicates the initial or primary place where an entity is situated, originates, or where an event or relationship begins.
-
B.
firstMeetingPlace
chosen
Indicates the location where two or more entities met each other for the very first time.
-
C.
firstEncounteredBy
Indicates that one entity is the person or agent who initially discovered, met, or came across the other entity for the first time.
-
D.
firstMission
Indicates that an entity is undertaking or associated with its initial mission or assignment in a given context.
-
E.
firstRevelationPlace
Indicates the location where something (typically a text, message, or revelation) was first revealed or disclosed.
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3970808190ba90f5e4235db9f2 |
completed | March 22, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69c049f5ac988190b62ba565153aaa35 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:13 p.m.