Triple
T689842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Newton Geiszler |
E13366
|
entity |
| Predicate | hasLab |
P15417
|
FINISHED |
| Object | kaiju research lab in Hong Kong Shatterdome |
—
|
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: kaiju research lab in Hong Kong Shatterdome | Statement: [Dr. Newton Geiszler, hasLab, kaiju research lab in Hong Kong Shatterdome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLab Context triple: [Dr. Newton Geiszler, hasLab, kaiju research lab in Hong Kong Shatterdome]
-
A.
hasLabel
Indicates that an entity is associated with a specific textual label or name used to identify or describe it.
-
B.
hasResearchInfrastructure
chosen
Indicates that an entity possesses, controls, or provides access to facilities, equipment, or resources used to conduct research.
-
C.
hasDiscoveryFacility
Indicates that an entity has, is associated with, or is served by a facility where discoveries (such as scientific, medical, or technological findings) are made or were made.
-
D.
hasComb
Indicates that an entity possesses or is equipped with a comb.
-
E.
hasResearchStatus
Indicates that an entity holds a particular stage or condition within a research process, such as planned, in progress, completed, or published.
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0ad379c81909003d35c63822780 |
completed | March 1, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69a49d221d38819083c0adda81f59b07 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.