Triple
T21803321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papantla Flyers |
E538288
|
entity |
| Predicate | safetyEquipmentTraditionallyUsed |
P145705
|
FINISHED |
| Object | none |
—
|
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: none | Statement: [Papantla Flyers, safetyEquipmentTraditionallyUsed, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: safetyEquipmentTraditionallyUsed Context triple: [Papantla Flyers, safetyEquipmentTraditionallyUsed, none]
-
A.
safetyEquipment
Indicates that one entity serves as safety equipment used to protect another entity from harm or danger.
-
B.
protectiveEquipment
Indicates that one entity serves as protective equipment used to safeguard another entity from harm or risk.
-
C.
safetyCategory
Indicates the classification of something according to its level or type of safety.
-
D.
typeOfEquipmentUsed
Indicates that a particular piece or category of equipment is utilized in performing a specific action, process, or activity.
-
E.
safetyRelevant
Indicates that the associated entity, condition, or information has a direct impact on safety or is critical for preventing harm or accidents.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0780126e88190a93dd8d0519eb8fc |
completed | April 28, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69e6be751ce881909badced245ef76c7 |
completed | April 21, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69e6c3a2898881909748935cf92f898c |
completed | April 21, 2026, 12:24 a.m. |
Created at: April 16, 2026, 6:53 p.m.