Triple
T22693276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HGNC:28350 |
E561104
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
MNDALS1
MNDALS1 is a human protein-coding gene associated with motor neuron disease and amyotrophic lateral sclerosis.
|
E1551037
|
NE FINISHED |
How this triple was built (4 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: MNDALS1 | Statement: [HGNC:28350, alsoKnownAs, MNDALS1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MNDALS1 Context triple: [HGNC:28350, alsoKnownAs, MNDALS1]
-
A.
MND-SE
MND-SE is a NATO multinational divisional headquarters responsible for coordinating allied land forces and defense activities in the Alliance’s southeastern region.
-
B.
MND-NE
MND-NE is a NATO multinational divisional headquarters responsible for coordinating collective defense and deterrence activities on the Alliance’s northeastern flank.
-
C.
MND
MND is the Ministry of National Defense of the Republic of China, responsible for formulating and executing the country's defense policy and overseeing its armed forces.
-
D.
MND
MND is the abbreviated name of South Korea’s Ministry of National Defense, the government body responsible for the country’s military affairs and defense policy.
-
E.
MNS
MNS is the three-letter National Rail station code assigned to Maghull North railway station in Merseyside, England.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MNDALS1 Triple: [HGNC:28350, alsoKnownAs, MNDALS1]
Generated description
MNDALS1 is a human protein-coding gene associated with motor neuron disease and amyotrophic lateral sclerosis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MNDALS1 Target entity description: MNDALS1 is a human protein-coding gene associated with motor neuron disease and amyotrophic lateral sclerosis.
-
A.
MND-SE
MND-SE is a NATO multinational divisional headquarters responsible for coordinating allied land forces and defense activities in the Alliance’s southeastern region.
-
B.
MND-NE
MND-NE is a NATO multinational divisional headquarters responsible for coordinating collective defense and deterrence activities on the Alliance’s northeastern flank.
-
C.
MND
MND is the Ministry of National Defense of the Republic of China, responsible for formulating and executing the country's defense policy and overseeing its armed forces.
-
D.
MND
MND is the abbreviated name of South Korea’s Ministry of National Defense, the government body responsible for the country’s military affairs and defense policy.
-
E.
MNS
MNS is the three-letter National Rail station code assigned to Maghull North railway station in Merseyside, England.
- F. None of above. chosen
Provenance (5 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_69f1789c6ae481908975b7d27e7624ac |
completed | April 29, 2026, 3:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b7ece75648190a841256cf08a72f8 |
completed | May 18, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_6a0b834f488c8190bee40bd1caea0e40 |
completed | May 18, 2026, 9:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b8717b65c819089d29c1802d1ed55 |
completed | May 18, 2026, 9:39 p.m. |
Created at: April 17, 2026, 3:13 p.m.