Triple
T18024100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neopilina |
E431201
|
entity |
| Predicate | hasMultiplePairsOf |
P62241
|
FINISHED |
| Object | gills |
—
|
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: gills | Statement: [Neopilina, hasMultiplePairsOf, gills]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMultiplePairsOf Context triple: [Neopilina, hasMultiplePairsOf, gills]
-
A.
hasMultiple
chosen
Indicates that an entity is associated with more than one instance or occurrence of another related entity.
-
B.
isPairOf
Indicates that two entities are associated as a matched or corresponding pair within a defined context.
-
C.
numberOfPairsUsed
Indicates the quantity of distinct pairs involved or utilized in a given context or operation.
-
D.
dualPair
Indicates that two entities form a dual pair, standing in a mathematically defined dual relationship where each is the dual counterpart of the other.
-
E.
hasDoublesPartner
Indicates that one entity serves as the doubles partner of another in a paired or team-based activity or sport.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9c475dc819086c4cd86d663791f |
completed | April 19, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69e3f904b8048190add43883cd7cb191 |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:24 a.m.