Triple
T18258265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diplopoda |
E437274
|
entity |
| Predicate | tagmata |
P130751
|
FINISHED |
| Object | head |
—
|
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: head | Statement: [Diplopoda, tagmata, head]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tagmata Context triple: [Diplopoda, tagmata, head]
-
A.
hasTagmata
chosen
Indicates that an organism possesses distinct functional body regions (tagmata) into which its body is divided.
-
B.
taluk
Indicates an administrative relationship where an area or settlement belongs to, is governed by, or falls within the jurisdiction of a specific taluk (sub-district).
-
C.
hasTamga
Indicates that an entity bears or is marked with a specific tamga (a distinctive emblem, brand, or clan/ownership mark).
-
D.
marked
Indicates that one entity has been identified, labeled, or highlighted in some way by another entity.
-
E.
macrolanguage
Indicates that a language is classified as a macrolanguage encompassing multiple closely related individual languages or varieties.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd8879e88190893f8da7c3529496 |
completed | April 19, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69e44fcdee748190bae6fb76e0cb22f3 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:34 a.m.