Triple
T4106575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NATO Land Command |
E88465
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
LANDCOM
LANDCOM is NATO’s headquarters responsible for overseeing and coordinating the alliance’s land forces operations and readiness.
|
E412315
|
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: LANDCOM | Statement: [NATO Land Command, shortName, LANDCOM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LANDCOM Context triple: [NATO Land Command, shortName, LANDCOM]
-
A.
Volacom
Volacom is a company founded by Tesla co-founder and battery technology pioneer JB Straubel, likely focused on advanced engineering and sustainable technology solutions.
-
B.
Metricom
Metricom was a pioneering wireless data communications company best known for its Ricochet wireless internet service in the 1990s.
-
C.
Erlecom
Erlecom is a small village in the Dutch province of Gelderland, situated along the Waal River within the municipality of Berg en Dal.
-
D.
Comnidyne
Comnidyne is the fictional corporation where Kevin Spacey’s character Dave Harken works as a tyrannical boss in the comedy film "Horrible Bosses."
-
E.
Southern Telecom
Southern Telecom is a telecommunications subsidiary of Southern Company that provides fiber-optic network and related communication services.
- 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: LANDCOM Triple: [NATO Land Command, shortName, LANDCOM]
Generated description
LANDCOM is NATO’s headquarters responsible for overseeing and coordinating the alliance’s land forces operations and readiness.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LANDCOM Target entity description: LANDCOM is NATO’s headquarters responsible for overseeing and coordinating the alliance’s land forces operations and readiness.
-
A.
Volacom
Volacom is a company founded by Tesla co-founder and battery technology pioneer JB Straubel, likely focused on advanced engineering and sustainable technology solutions.
-
B.
Metricom
Metricom was a pioneering wireless data communications company best known for its Ricochet wireless internet service in the 1990s.
-
C.
Erlecom
Erlecom is a small village in the Dutch province of Gelderland, situated along the Waal River within the municipality of Berg en Dal.
-
D.
Comnidyne
Comnidyne is the fictional corporation where Kevin Spacey’s character Dave Harken works as a tyrannical boss in the comedy film "Horrible Bosses."
-
E.
Southern Telecom
Southern Telecom is a telecommunications subsidiary of Southern Company that provides fiber-optic network and related communication services.
- 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_69aed9484fb881909146f4c772ad277c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af019c7a3c8190a503ce80e87dc3b3 |
completed | March 9, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b7f88948190b87242e706a488c0 |
completed | March 14, 2026, 2:06 p.m. |
| NEDg | Description generation | batch_69b56c0a3b1c81908ae4c630c6881c1c |
completed | March 14, 2026, 2:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b56c94df3481908d2f4a3976fb775b |
completed | March 14, 2026, 2:11 p.m. |
Created at: March 9, 2026, 3:40 p.m.