Triple
T15857540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thales Group |
E384498
|
entity |
| Predicate | tradedAs |
P2822
|
FINISHED |
| Object | HO |
E384498
|
NE FINISHED |
How this triple was built (2 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: HO | Statement: [Thales Group, tradedAs, HO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HO Context triple: [Thales Group, tradedAs, HO]
-
A.
HO
chosen
HO is the stock ticker symbol for Thales Group, a major French multinational company specializing in aerospace, defense, security, and transportation technologies.
-
B.
HO
HO is the vehicle registration code used on license plates for the city and district of Hof in Upper Franconia, Germany.
-
C.
HO
HO is the IATA airline designator assigned to Juneyao Air, a Chinese carrier based in Shanghai.
-
D.
Ho
Ho is the given name of the Korean-born contemporary artist Do Ho Suh, known for his large-scale installations exploring space, memory, and identity.
-
E.
Ho
Ho is a common East Asian surname used in various cultures, including Chinese and Korean, often representing different characters and lineages depending on the language and region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1555808688190882b610109d1e5f4 |
completed | April 16, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa14c1e508190a182db216cc4e326 |
completed | May 9, 2026, 9:04 p.m. |
Created at: April 10, 2026, 4:50 a.m.