Triple
T22690533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LOXO-292 |
E561037
|
entity |
| Predicate | hasUSFDADesignation |
P149279
|
FINISHED |
| Object | orphan drug |
—
|
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: orphan drug | Statement: [LOXO-292, hasUSFDADesignation, orphan drug]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUSFDADesignation Context triple: [LOXO-292, hasUSFDADesignation, orphan drug]
-
A.
hasNISTDesignation
Indicates that an entity is assigned a specific designation or identifier defined by NIST (the National Institute of Standards and Technology).
-
B.
NASADesignation
Indicates that an entity has been assigned an official identification or catalog number by NASA.
-
C.
americanDesignation
Indicates that one entity is the official American name, title, or designation for another entity.
-
D.
hasESODesignation
Indicates that an entity is assigned a specific designation or identifier by the European Southern Observatory (ESO).
-
E.
hasRegionDesignation
Indicates that an entity is assigned or associated with a specific regional classification or designation.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789a1fd08190bce5fa0babe695d3 |
completed | April 29, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69ee62b2259c819091ed1387a748b9f3 |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:13 p.m.