Triple
T9287208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xiphodontidae |
E223422
|
entity |
| Predicate | morphologicalComparison |
P87414
|
FINISHED |
| Object | deer-like |
—
|
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: deer-like | Statement: [Xiphodontidae, morphologicalComparison, deer-like]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: morphologicalComparison Context triple: [Xiphodontidae, morphologicalComparison, deer-like]
-
A.
morphologicalDiversity
Indicates variation in the forms, structures, or shapes of entities within a group or system.
-
B.
relatedMorphologicalFeature
Indicates that one entity is connected to another through a shared or corresponding morphological feature or structure.
-
C.
hasMorphologyDistinctFrom
Indicates that the morphology (form or structure) of one entity is different from that of another entity.
-
D.
morphologicalRelation
Indicates a relationship between linguistic forms where one word or morpheme is derived from, inflected from, or otherwise morphologically related to another.
-
E.
modifiesMorphologyOf
Indicates that one entity alters or changes the morphological structure or form of 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_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. |
| PDg | Predicate description generation | batch_69cc94b796788190816b71b1e9996288 |
completed | April 1, 2026, 3:44 a.m. |
Created at: March 30, 2026, 7:35 p.m.