Triple
T15145477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orange S.A. |
E361793
|
entity |
| Predicate | ISIN |
P6091
|
FINISHED |
| Object |
FR0000133308
FR0000133308 is the International Securities Identification Number (ISIN) assigned to the shares of the French multinational telecommunications company Orange S.A.
|
E1140480
|
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: FR0000133308 | Statement: [Orange S.A., ISIN, FR0000133308]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FR0000133308 Context triple: [Orange S.A., ISIN, FR0000133308]
-
A.
FR0013326246
FR0013326246 is the International Securities Identification Number (ISIN) assigned to the shares of Unibail-Rodamco-Westfield, a major European commercial real estate company specializing in shopping centers.
-
B.
FR-08
FR-08 is the ISO 3166-2 code designating the Ardennes department in northeastern France.
-
C.
Calmann-Lévy
Calmann-Lévy is a historic French publishing house known for its literary catalog and role in French and European publishing.
-
D.
Fond Parisien
Fond Parisien is a small town in southeastern Haiti near the Dominican border, known for its proximity to Lake Azuei and its role as a local agricultural and trading center.
-
E.
FR-53
FR-53 is the ISO 3166-2 code designating the Mayenne department in northwestern France.
- 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: FR0000133308 Triple: [Orange S.A., ISIN, FR0000133308]
Generated description
FR0000133308 is the International Securities Identification Number (ISIN) assigned to the shares of the French multinational telecommunications company Orange S.A.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FR0000133308 Target entity description: FR0000133308 is the International Securities Identification Number (ISIN) assigned to the shares of the French multinational telecommunications company Orange S.A.
-
A.
FR0013326246
FR0013326246 is the International Securities Identification Number (ISIN) assigned to the shares of Unibail-Rodamco-Westfield, a major European commercial real estate company specializing in shopping centers.
-
B.
FR-08
FR-08 is the ISO 3166-2 code designating the Ardennes department in northeastern France.
-
C.
Calmann-Lévy
Calmann-Lévy is a historic French publishing house known for its literary catalog and role in French and European publishing.
-
D.
Fond Parisien
Fond Parisien is a small town in southeastern Haiti near the Dominican border, known for its proximity to Lake Azuei and its role as a local agricultural and trading center.
-
E.
FR-53
FR-53 is the ISO 3166-2 code designating the Mayenne department in northwestern France.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c71b688190b2e8ccfdf4db9037 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febff02e648190bd10f04a374da227 |
completed | May 9, 2026, 5:02 a.m. |
| NEDg | Description generation | batch_69fec08c37dc8190a59289e4ee76beab |
completed | May 9, 2026, 5:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fec10cd2d48190ba96885ca604a853 |
completed | May 9, 2026, 5:07 a.m. |
Created at: April 10, 2026, 3:07 a.m.