Triple
T9798205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tumbleweeds (resident writers and travelers) |
E237769
|
entity |
| Predicate | stayType |
P75185
|
FINISHED |
| Object | temporary residency |
—
|
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: temporary residency | Statement: [Tumbleweeds (resident writers and travelers), stayType, temporary residency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stayType Context triple: [Tumbleweeds (resident writers and travelers), stayType, temporary residency]
-
A.
hostsDepositType
Indicates that an entity (such as an account, platform, or institution) supports or accommodates a particular type or category of deposit.
-
B.
accommodationStyle
chosen
Indicates the manner or type of lodging or housing arrangement provided or used in a given context.
-
C.
retreatType
Indicates the specific kind or category of retreat associated with an event, action, or entity.
-
D.
seeksLodgingIn
Indicates that one entity is actively trying to obtain or arrange a place to stay within a specified location.
-
E.
reservationLocatedAlong
Indicates that a reservation is situated along, adjacent to, or following the course or extent of a specified linear feature such as a road, river, or boundary.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda627cc2c81909ccc2e26751f5e85 |
completed | April 1, 2026, 11:11 p.m. |
| PD | Predicate disambiguation | batch_69cd03da45a88190b71b1be3354c15a6 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:28 p.m.