Triple
T2733237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Hairy-nosed Wombat |
E60365
|
entity |
| Predicate | pouchOrientation |
P41718
|
FINISHED |
| Object | backward-opening pouch |
—
|
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: backward-opening pouch | Statement: [Southern Hairy-nosed Wombat, pouchOrientation, backward-opening pouch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pouchOrientation Context triple: [Southern Hairy-nosed Wombat, pouchOrientation, backward-opening pouch]
-
A.
pouchType
Indicates the specific kind or category of pouch associated with an entity.
-
B.
legOrientation
Indicates the relative positioning or directional alignment of an entity’s leg(s) with respect to a reference frame or another object.
-
C.
surfaceOrientation
Indicates the spatial orientation or facing direction of a surface relative to a reference frame or viewpoint.
-
D.
sessionOrientation
Indicates the directional or spatial alignment relationship established between entities within a session or interaction context.
-
E.
bodySideOrientation
Indicates the spatial relationship of an entity with respect to the left, right, or bilateral side of a body.
- 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_69ab4b75cd908190b691ef0d1801acda |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaf175808190acbbb3873c7c3f67 |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd82859348190bce3be8f2e9d60ba |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd968b2148190929af432c9d8001f |
completed | March 7, 2026, 7:53 a.m. |
Created at: March 6, 2026, 9:56 p.m.