Triple
T37554232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bindings of the Windseeker |
E933655
|
entity |
| Predicate | bindsOnPickup |
P188278
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Bindings of the Windseeker, bindsOnPickup, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bindsOnPickup Context triple: [Bindings of the Windseeker, bindsOnPickup, true]
-
A.
requiresItemPickup
Indicates that an action, process, or condition cannot proceed or be fulfilled until a specified item has been physically picked up or collected.
-
B.
usesPickupType
Indicates that one entity employs or operates a specific type of pickup in performing its function or action.
-
C.
hasPickup
Indicates that one entity is assigned or associated with a specific pickup location, time, or arrangement for collection.
-
D.
bindsTo
Indicates that one entity physically or functionally attaches or connects to another, often with some specificity or selectivity in the interaction.
-
E.
neckPickupType
Indicates the type or configuration of the pickup installed at the neck position of an instrument.
- 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_69f76eca55bc8190acf25741793d5dac |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba5eec0448190a5e6f0c43fdcd0e3 |
completed | May 6, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69fba34edd548190bfa980e6e16e0a88 |
completed | May 6, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69fba5ee00fc81909be7b947a3f95034 |
completed | May 6, 2026, 8:34 p.m. |
Created at: May 3, 2026, 4:17 p.m.