Triple
T37263282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanutarra |
E924310
|
entity |
| Predicate | roadhouseServes |
P187355
|
FINISHED |
| Object | long‑distance travelers |
—
|
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: long‑distance travelers | Statement: [Nanutarra, roadhouseServes, long‑distance travelers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadhouseServes Context triple: [Nanutarra, roadhouseServes, long‑distance travelers]
-
A.
roadhouseProvides
chosen
Indicates that a roadhouse supplies or makes available a particular good, service, or amenity.
-
B.
servesHouse
Indicates that an entity provides service, support, or functions on behalf of a particular house or household.
-
C.
servesAvenue
Indicates that something (such as a service, route, or facility) provides service to or operates along a particular avenue.
-
D.
servesAlcohol
Indicates that an establishment or provider offers and supplies alcoholic beverages to customers or participants.
-
E.
servesMostly
Indicates that one entity primarily functions to serve, support, or cater to another entity, more than to any other.
- 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_69f76eabd6c481909d414a80a1345c98 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:15 p.m.