Triple
T38521892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takotna, Alaska |
E922499
|
entity |
| Predicate | checkpointReputation |
P190980
|
FINISHED |
| Object | dog-friendly checkpoint on Iditarod |
—
|
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: dog-friendly checkpoint on Iditarod | Statement: [Takotna, Alaska, checkpointReputation, dog-friendly checkpoint on Iditarod]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: checkpointReputation Context triple: [Takotna, Alaska, checkpointReputation, dog-friendly checkpoint on Iditarod]
-
A.
scoringReputation
Indicates that one entity evaluates and assigns a reputation-related score to another entity based on its behavior or performance.
-
B.
peakReputation
Indicates the highest level of reputation an entity has ever attained within a given context or system.
-
C.
crowdReputation
Indicates the collective opinion or perceived standing of an entity as judged by a group or general audience.
-
D.
managerReputation
Indicates the perceived quality, trustworthiness, and effectiveness of a manager as judged by others.
-
E.
stoneReputation
Indicates a relationship where an entity’s reputation or renown is established, marked, or symbolized in stone (e.g., through inscriptions, monuments, or enduring records).
- 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_69f76ea5f5588190bd0b28c82e975640 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcd34596288190b8e34a7a20b4c0db |
completed | May 7, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
| PDg | Predicate description generation | batch_69fcd31227708190a7df213597e66ca8 |
completed | May 7, 2026, 5:59 p.m. |
Created at: May 3, 2026, 4:32 p.m.