Triple
T16328498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montpellier Hérault Rugby |
E396485
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
MHR
MHR is a professional French rugby union club based in Montpellier that competes in the country’s top domestic league.
|
E1207425
|
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: MHR | Statement: [Montpellier Hérault Rugby, shortName, MHR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MHR Context triple: [Montpellier Hérault Rugby, shortName, MHR]
-
A.
MHR
MHR is the three-letter IATA airport code for Mather Airport, a public airport serving the Sacramento, California area.
-
B.
mhr
mhr is the ISO 639-3 code for Meadow Mari, a Uralic language spoken primarily in the Mari El Republic of Russia.
-
C.
MRH
MRH is the IATA airport code for Michael J. Smith Field, a public airport serving Beaufort, North Carolina, in the United States.
-
D.
MH
MH is the two-letter ISO 3166-1 alpha-2 country code representing the Republic of the Marshall Islands.
-
E.
MH
MH is the two-letter IATA airline designator used to identify Malaysia Airlines on tickets, timetables, and flight numbers.
- 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: MHR Triple: [Montpellier Hérault Rugby, shortName, MHR]
Generated description
MHR is a professional French rugby union club based in Montpellier that competes in the country’s top domestic league.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MHR Target entity description: MHR is a professional French rugby union club based in Montpellier that competes in the country’s top domestic league.
-
A.
MHR
MHR is the three-letter IATA airport code for Mather Airport, a public airport serving the Sacramento, California area.
-
B.
mhr
mhr is the ISO 639-3 code for Meadow Mari, a Uralic language spoken primarily in the Mari El Republic of Russia.
-
C.
MRH
MRH is the IATA airport code for Michael J. Smith Field, a public airport serving Beaufort, North Carolina, in the United States.
-
D.
MH
MH is the two-letter ISO 3166-1 alpha-2 country code representing the Republic of the Marshall Islands.
-
E.
MH
MH is the two-letter IATA airline designator used to identify Malaysia Airlines on tickets, timetables, and flight numbers.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4ddc5608190b24fe2e871691470 |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00260f487c81909e3e54e47c11b83a |
completed | May 10, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_6a0027f09b588190b71d550d2a14868d |
completed | May 10, 2026, 6:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a002899c8888190be247f5db60552e0 |
completed | May 10, 2026, 6:41 a.m. |
Created at: April 10, 2026, 5:07 a.m.