Triple
T20825344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Chowhound |
E512682
|
entity |
| Predicate | tonnageDelivered |
P122610
|
FINISHED |
| Object | over 4000 tons of food |
—
|
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: over 4000 tons of food | Statement: [Operation Chowhound, tonnageDelivered, over 4000 tons of food]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tonnageDelivered Context triple: [Operation Chowhound, tonnageDelivered, over 4000 tons of food]
-
A.
cargoMassDelivered
chosen
Indicates that a certain mass of cargo has been successfully transported and delivered from a source to a destination.
-
B.
tonnage
Indicates the relationship between an object and the measure of its weight or cargo capacity, typically expressed in tons.
-
C.
materialTransportedTo
Indicates that a material is moved or conveyed from one location or entity to another specified destination.
-
D.
materialTransportedFrom
Indicates that a material or substance is moved or carried from a specified source location to another place.
-
E.
estimatedMassInTonnes
Indicates the approximate mass of an entity expressed in metric tonnes.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2fd8480819099930af691d97477 |
completed | April 21, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a1f4f48190aa9fb4ef8f8aea5a |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:41 p.m.