Triple
T5096354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tacloban |
E114874
|
entity |
| Predicate | typhoonImpactYear |
P61079
|
FINISHED |
| Object | 2013 |
—
|
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: 2013 | Statement: [Tacloban, typhoonImpactYear, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typhoonImpactYear Context triple: [Tacloban, typhoonImpactYear, 2013]
-
A.
firstLandfallYear
Indicates the calendar year in which something (typically a storm or similar event) first makes landfall.
-
B.
tsunamiAffectedCountry
Indicates that a given country has been impacted by a tsunami event, such as through damage, casualties, or disruption.
-
C.
tsunamiType
Indicates the specific classification or category of a tsunami associated with an event or location.
-
D.
tsunamiAffectedArea
Indicates that a given area has been impacted or damaged by a tsunami.
-
E.
notableAccidentYear
Indicates the year in which a notable accident involving the subject occurred.
- F. None of above. chosen
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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75652a8081908386718f1fdb1de3 |
completed | March 20, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69bd715e06808190931934dc9930f997 |
completed | March 20, 2026, 4:10 p.m. |
| PDg | Predicate description generation | batch_69bd738ac2e0819099c06cdcc5e21d28 |
completed | March 20, 2026, 4:19 p.m. |
Created at: March 20, 2026, 1:40 p.m.