Triple
T3017180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enrich |
E82364
|
entity |
| Predicate | loyaltyCurrency |
P9554
|
FINISHED |
| Object | Enrich Points |
E82364
|
NE 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: Enrich Points | Statement: [Enrich, loyaltyCurrency, Enrich Points]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enrich Points Context triple: [Enrich, loyaltyCurrency, Enrich Points]
-
A.
Enrich
chosen
Enrich is the frequent flyer loyalty program of Malaysia Airlines, offering members points, tier status, and travel-related rewards.
-
B.
Trophy Point
Trophy Point is a scenic overlook and historic parade ground at the United States Military Academy, renowned for its Hudson River views and display of captured artillery.
-
C.
BreezePoints
BreezePoints is the loyalty rewards program of Breeze Airways, allowing passengers to earn and redeem points for flights and related travel benefits.
-
D.
Gold Point
Gold Point is a historic Nevada mining ghost town known for its preserved old buildings and Wild West heritage.
-
E.
Augments
Augments are genetically enhanced humans in the Star Trek universe, engineered for superior physical and mental abilities but often associated with ambition and conflict.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a6c56708190b7d8d08bca727cc1 |
completed | March 8, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e6eac1481909d56844e53c37b59 |
completed | March 11, 2026, 8:57 a.m. |
Created at: March 8, 2026, 3 p.m.