Triple
T21161760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hungarian Horntail |
E521459
|
entity |
| Predicate | fireColor |
P143107
|
FINISHED |
| Object | fire that can reach great distances |
—
|
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: fire that can reach great distances | Statement: [Hungarian Horntail, fireColor, fire that can reach great distances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fireColor Context triple: [Hungarian Horntail, fireColor, fire that can reach great distances]
-
A.
fireType
Indicates that one entity has a specific classification or category related to fire (e.g., type, kind, or nature of fire).
-
B.
fireSymbolizes
Indicates that the concept or element of fire is used to represent, signify, or stand for another idea, quality, or meaning in a symbolic way.
-
C.
fireShape
Indicates that one entity has the specified geometric or visual form of a fire or flame.
-
D.
fireOccurred
Indicates that a fire event took place at a specific time and/or location.
-
E.
fireEffect
Indicates that one entity produces, causes, or is associated with a fire-related impact or consequence on another entity.
- 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_69e0b50d1ea481909c07e63c3ead9316 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72530e3388190a170c5a2a19dadfc |
completed | April 21, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69e5f5f8a5bc819081918c7fa8e4496d |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5f993240c8190847c0b08e65726c8 |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 2:59 p.m.