Triple
T11056627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ALS |
E261391
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | ALS |
E24881
|
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: ALS | Statement: [ALS, hasAbbreviation, ALS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ALS Context triple: [ALS, hasAbbreviation, ALS]
-
A.
ALS
chosen
ALS (amyotrophic lateral sclerosis) is a progressive neurodegenerative disease that affects nerve cells in the brain and spinal cord, leading to muscle weakness, paralysis, and ultimately respiratory failure.
-
B.
ALS
ALS is the abbreviation for the Army Legal Services Branch, the specialist legal branch of the British Army responsible for providing legal support and advice.
-
C.
ALS
ALS is a state-of-the-art synchrotron radiation facility at Lawrence Berkeley National Laboratory that produces intense X-ray and ultraviolet light for cutting-edge scientific research.
-
D.
ALS
ALS is the IATA airport code for San Luis Valley Regional Airport serving Alamosa, Colorado.
-
E.
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.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798a2404c819090cb0825a67a64fa |
completed | April 9, 2026, 12:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c86e0e6481908f091497313132c1 |
completed | April 18, 2026, 6:07 p.m. |
Created at: April 8, 2026, 9:26 p.m.