Triple
T15597211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ProA |
E374932
|
entity |
| Predicate | relegationTo |
P2678
|
FINISHED |
| Object |
ProB
ProB is a lower-tier football league in the French league system, positioned below the top professional division.
|
E1166486
|
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: ProB | Statement: [ProA, relegationTo, ProB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ProB Context triple: [ProA, relegationTo, ProB]
-
A.
Proval
Proval is a surname most notably associated with American actor David Proval, known for his roles in film and television.
-
B.
PRO
PRO is the Professional Referee Organization that manages and develops professional soccer match officials in the United States and Canada.
-
C.
Proz
Proz is a musical artist known for contributing featured vocals to the track "Birth of a Prince."
-
D.
Pro A
Pro A is the top-tier professional basketball league in Latvia, organized under the Latvian National Basketball League (LNB).
-
E.
PROF
PROF is the standard abbreviation for the Division of Professional Relations, an organizational unit focused on issues affecting professional practice and workplace relations.
- 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: ProB Triple: [ProA, relegationTo, ProB]
Generated description
ProB is a lower-tier football league in the French league system, positioned below the top professional division.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ProB Target entity description: ProB is a lower-tier football league in the French league system, positioned below the top professional division.
-
A.
Proval
Proval is a surname most notably associated with American actor David Proval, known for his roles in film and television.
-
B.
PRO
PRO is the Professional Referee Organization that manages and develops professional soccer match officials in the United States and Canada.
-
C.
Proz
Proz is a musical artist known for contributing featured vocals to the track "Birth of a Prince."
-
D.
Pro A
Pro A is the top-tier professional basketball league in Latvia, organized under the Latvian National Basketball League (LNB).
-
E.
PROF
PROF is the standard abbreviation for the Division of Professional Relations, an organizational unit focused on issues affecting professional practice and workplace relations.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e609ab081909feb486a57439960 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56ccc40c8190a3b1339404e6897f |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff581a25008190b7be08a93d798522 |
completed | May 9, 2026, 3:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff58ad35108190a0549d3d81e6851e |
completed | May 9, 2026, 3:54 p.m. |
Created at: April 10, 2026, 4:12 a.m.