Triple
T37661463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | End Ship |
E937725
|
entity |
| Predicate | containsChestLocation |
P203653
|
FINISHED |
| Object | captain's cabin |
—
|
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: captain's cabin | Statement: [End Ship, containsChestLocation, captain's cabin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsChestLocation Context triple: [End Ship, containsChestLocation, captain's cabin]
-
A.
hasWeaponBoxLocation
Indicates that an entity has a specific location associated with a weapon box.
-
B.
containsTreasureRoom
Indicates that an entity includes or encompasses a room designated as a treasure room within its structure or area.
-
C.
containsMortuaryChestsOf
Indicates that one entity physically houses or holds the mortuary chests belonging to another entity.
-
D.
hasCursedLocation
Indicates a relationship where a location is affected by or associated with a curse.
-
E.
lootChestCount
Indicates the number of lootable chests associated with or contained in a given context or 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a01bdacb52481909c56b0398106640e |
completed | May 11, 2026, 11:29 a.m. |
| PD | Predicate disambiguation | batch_6a01bd30c8ec8190b1e54d7658b01a8d |
completed | May 11, 2026, 11:27 a.m. |
| PDg | Predicate description generation | batch_6a01bdaba3bc8190aca1be8a0df6abad |
completed | May 11, 2026, 11:29 a.m. |
Created at: May 3, 2026, 4:18 p.m.