Triple
T33423863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 Ecuador earthquake |
E855916
|
entity |
| Predicate | stronglyAffectedCity |
P10973
|
FINISHED |
| Object | Pedernales |
—
|
NE NERFINISHED |
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: Pedernales | Statement: [2016 Ecuador earthquake, stronglyAffectedCity, Pedernales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stronglyAffectedCity Context triple: [2016 Ecuador earthquake, stronglyAffectedCity, Pedernales]
-
A.
affectedCity
chosen
Indicates that a particular city is impacted or influenced by a specified event, action, or condition.
-
B.
servesAsFocusCityFor
Indicates that a city functions as a primary or designated focus city for an airline, organization, or transportation network, typically hosting significant but not hub-level operations or activities.
-
C.
cityOfInfluence
Indicates the city that significantly shapes, impacts, or exerts influence over a given entity.
-
D.
representedCity
Indicates that an entity serves as the official representative or proxy for a particular city.
-
E.
majorReceivingCity
Indicates that one city serves as a primary destination or hub for receiving people, goods, or resources from another location.
- 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_69f3496fdf0081908c1aa30870ce518b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:36 a.m.