Triple
T35256447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bun Bang Fai |
E1018243
|
entity |
| Predicate | rocketMaterial |
P138833
|
FINISHED |
| Object | bamboo |
—
|
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: bamboo | Statement: [Bun Bang Fai, rocketMaterial, bamboo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rocketMaterial Context triple: [Bun Bang Fai, rocketMaterial, bamboo]
-
A.
ejectaMaterial
Indicates that one entity consists of or represents material that has been expelled or thrown out from another entity, typically by an energetic event such as an impact or explosion.
-
B.
weaponMaterial
chosen
Indicates that a weapon is made from, composed of, or primarily constructed using a specified material.
-
C.
rocketVariant
Indicates a specific version or configuration of a given rocket.
-
D.
railMaterial
Indicates that one entity is the material from which a rail or railing is made.
-
E.
rocketCaliber
Indicates the diameter or size classification of a rocket, typically specifying the width of its body or projectile.
- 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_69f76de407d081909dfc3c419817ae93 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f66bfd8819095abc3999599e0ec |
completed | May 3, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:02 p.m.