Triple
T11985264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caterpillar |
E285260
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Caterpillar |
E95171
|
NE 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: Caterpillar | Statement: [Caterpillar, name, Caterpillar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caterpillar Context triple: [Caterpillar, name, Caterpillar]
-
A.
Caterpillar
The Caterpillar is a wise, enigmatic blue insect who serves as a cryptic advisor to Alice in Tim Burton’s 2010 fantasy film "Alice in Wonderland."
-
B.
Caterpillar
chosen
Caterpillar is a leading American manufacturer of construction and mining equipment, diesel and natural gas engines, industrial gas turbines, and locomotives.
-
C.
Toro
Toro is the bull mascot representing California State University, Dominguez Hills at its athletic events and campus activities.
-
D.
Toro
Toro is the traditional nickname of Torino F.C., a historic Italian football club based in Turin.
-
E.
Toro
Toro is the official bull-themed mascot of the NFL's Houston Texans, known for entertaining fans at games and team events.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903acbb9081908fe7f8360057785c |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f47237c23081909044388ff5dc73b3 |
completed | May 1, 2026, 9:28 a.m. |
Created at: April 8, 2026, 9:46 p.m.