Triple
T18706097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puerto del Hambre |
E457370
|
entity |
| Predicate | primaryCauseOfFailure |
P77548
|
FINISHED |
| Object | starvation |
—
|
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: starvation | Statement: [Puerto del Hambre, primaryCauseOfFailure, starvation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCauseOfFailure Context triple: [Puerto del Hambre, primaryCauseOfFailure, starvation]
-
A.
failureCause
chosen
Indicates that one event, condition, or factor is the reason or source that caused a particular failure to occur.
-
B.
fallCause
Indicates that one event or condition causes or brings about another event of falling or decline.
-
C.
typeOfFailure
Indicates the specific kind or category of failure that occurred in relation to an entity or process.
-
D.
primaryCauseCategory
Indicates the main type or classification of cause responsible for an outcome or event.
-
E.
failureEvent
Indicates that an action, process, or system has not achieved its intended outcome, resulting in a failure occurrence.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5671717b88190974f542015f641e8 |
completed | April 19, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69e478de85088190ba5f005f1d39f587 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:50 a.m.