Triple
T3414036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PADL |
E71964
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
LOPSTR
LOPSTR is an international symposium focused on logic-based program development and transformation, bringing together research on program synthesis, analysis, verification, and related areas.
|
E355617
|
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: LOPSTR | Statement: [PADL, relatedTo, LOPSTR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LOPSTR Context triple: [PADL, relatedTo, LOPSTR]
-
A.
LOP-G
LOP-G is the Lunar Orbital Platform-Gateway, a planned crew-tended space station in lunar orbit that will serve as a staging point for deep space exploration missions.
-
B.
l_P
l_P is the standard symbol denoting the Planck length, the fundamental quantum scale of length in theoretical physics.
-
C.
Lopik
Lopik is a rural municipality and town in the central Netherlands, known for its agricultural landscape and location along the river Lek.
-
D.
Lopatin
Lopatin is a Russian surname borne by various notable individuals in fields such as the military, arts, and academia.
-
E.
Loopt
Loopt was an early location-based social networking mobile app startup that allowed users to share their real-time location with friends.
- 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: LOPSTR Triple: [PADL, relatedTo, LOPSTR]
Generated description
LOPSTR is an international symposium focused on logic-based program development and transformation, bringing together research on program synthesis, analysis, verification, and related areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LOPSTR Target entity description: LOPSTR is an international symposium focused on logic-based program development and transformation, bringing together research on program synthesis, analysis, verification, and related areas.
-
A.
LOP-G
LOP-G is the Lunar Orbital Platform-Gateway, a planned crew-tended space station in lunar orbit that will serve as a staging point for deep space exploration missions.
-
B.
l_P
l_P is the standard symbol denoting the Planck length, the fundamental quantum scale of length in theoretical physics.
-
C.
Lopik
Lopik is a rural municipality and town in the central Netherlands, known for its agricultural landscape and location along the river Lek.
-
D.
Lopatin
Lopatin is a Russian surname borne by various notable individuals in fields such as the military, arts, and academia.
-
E.
Loopt
Loopt was an early location-based social networking mobile app startup that allowed users to share their real-time location with friends.
- 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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb927e8d081908a5ab283da93beb2 |
completed | March 8, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34be16dd48190a51f4e13a6a13a4f |
completed | March 12, 2026, 11:27 p.m. |
| NEDg | Description generation | batch_69b34e4972008190af3b84f26b4a3629 |
completed | March 12, 2026, 11:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b34fc6c3f88190ba1a08243232df05 |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 8, 2026, 3:15 p.m.