Triple
T37456701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hive (StarCraft Zerg structure) |
E930817
|
entity |
| Predicate | isMorphOf |
P187851
|
FINISHED |
| Object | Hatchery (StarCraft Zerg structure) |
—
|
NE NERFINISHED |
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: Hatchery (StarCraft Zerg structure) | Statement: [Hive (StarCraft Zerg structure), isMorphOf, Hatchery (StarCraft Zerg structure)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMorphOf Context triple: [Hive (StarCraft Zerg structure), isMorphOf, Hatchery (StarCraft Zerg structure)]
-
A.
isModelOf
Indicates that one entity serves as a representation or abstraction that captures the structure or behavior of another entity.
-
B.
morphismType
Indicates the specific kind or category of morphism that characterizes the structural relationship between two mathematical objects.
-
C.
hasMorphologicalType
Indicates that an entity possesses or is classified by a particular morphological type or structural form.
-
D.
isIsomorphicTo
Indicates that two structures have a one-to-one, structure-preserving correspondence between their elements, making them equivalent in form even if not identical in content.
-
E.
hasMorphismsCorrespondingTo
Indicates that there exist morphisms between two structures such that they correspond in a specified way (e.g., via a functor, equivalence, or structural mapping) according to the given context.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb92efc5948190a040ba2028bab964 |
completed | May 6, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0b52588190bb29937a43b99b5e |
completed | May 6, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69fb92ee27408190b0116ef2d789abac |
completed | May 6, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:17 p.m.