Triple
T35210238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nimrod Hut |
E1016652
|
entity |
| Predicate | containsOriginalItems |
P202750
|
FINISHED |
| Object | food supplies |
—
|
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: food supplies | Statement: [Nimrod Hut, containsOriginalItems, food supplies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsOriginalItems Context triple: [Nimrod Hut, containsOriginalItems, food supplies]
-
A.
hasOriginalComposition
Indicates that one entity is the initial or primary compositional source or makeup of another entity.
-
B.
containsOriginalSongs
Indicates that one entity includes or features songs that are original compositions rather than covers or adaptations.
-
C.
hasOriginalVersion
Indicates that one entity is the original or initial version from which another entity is derived or adapted.
-
D.
hasOriginalPart
Indicates that an entity includes a component or segment that is part of its initial, original composition.
-
E.
hasSurvivingOriginals
Indicates that some of the original instances or versions of an entity still exist and have not been lost, destroyed, or replaced.
- 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_69f76ddf549c8190869d0af076fd2c28 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a00b3d2e0c88190a8bf49576e654f64 |
completed | May 10, 2026, 4:35 p.m. |
| PD | Predicate disambiguation | batch_6a00b376f4e48190a6676779fe02ea9f |
completed | May 10, 2026, 4:33 p.m. |
| PDg | Predicate description generation | batch_6a00b3d23bdc8190b45dd7eefa72ead5 |
completed | May 10, 2026, 4:35 p.m. |
Created at: May 3, 2026, 4:02 p.m.