Triple
T9287169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Protoceratidae |
E223421
|
entity |
| Predicate | resemblesMorphologically |
P35666
|
FINISHED |
| Object | horned deer |
—
|
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: horned deer | Statement: [Protoceratidae, resemblesMorphologically, horned deer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resemblesMorphologically Context triple: [Protoceratidae, resemblesMorphologically, horned deer]
-
A.
resembles
chosen
Indicates that one entity is similar in appearance, form, or characteristics to another.
-
B.
hasMorphologyDistinctFrom
Indicates that the morphology (form or structure) of one entity is different from that of another entity.
-
C.
relatedMorphologicalFeature
Indicates that one entity is connected to another through a shared or corresponding morphological feature or structure.
-
D.
morphologicalDiversity
Indicates variation in the forms, structures, or shapes of entities within a group or system.
-
E.
hasPhonologicalSimilarityTo
Indicates that two linguistic elements share similar sound patterns or phonological features.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0861425c81909e3ab11e19cc2f65 |
completed | April 1, 2026, 11:58 a.m. |
| PD | Predicate disambiguation | batch_69cc7a576ec88190bbb787eb82e2e539 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:35 p.m.