Triple
T38587624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deeprun Tram entrance |
E932379
|
entity |
| Predicate | supportsPets |
P14057
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Deeprun Tram entrance, supportsPets, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsPets Context triple: [Deeprun Tram entrance, supportsPets, yes]
-
A.
petPolicy
chosen
Indicates the rules or conditions governing whether and how pets are allowed in relation to a place, service, or arrangement.
-
B.
providesEmotionalSupportTo
Indicates that one entity offers comfort, understanding, and reassurance to another to help them cope emotionally.
-
C.
companionAnimals
Indicates a relationship where one entity keeps or cares for another entity as a pet or companion animal.
-
D.
offersToAdopt
Indicates that one entity expresses a willingness or proposal to take another entity into its care or custody as an adopted dependent.
-
E.
supportsUsers
Indicates that one entity provides assistance, functionality, or compatibility for the users associated with another entity.
- 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.