Triple
T17004632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HOLO card |
E412538
|
entity |
| Predicate | branding |
P1500
|
FINISHED |
| Object |
HOLO
HOLO is a brand associated with HOLO cards, typically used for contactless payment or access in transit and related services.
|
E1245419
|
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: HOLO | Statement: [HOLO card, branding, HOLO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HOLO Context triple: [HOLO card, branding, HOLO]
-
A.
HOL
HOL is the commonly used abbreviation for the Hall of Languages, a historic academic building on the Syracuse University campus.
-
B.
Holos
Holos is a pro-European, liberal political party in Ukraine known for its reformist and anti-corruption agenda.
-
C.
Hol
Hol is a rural municipality in Viken county, Norway, known for its mountainous landscapes, winter sports tourism, and traditional Norwegian culture.
-
D.
Hol
Hol is a small settlement located on the island of Tjeldøya in northern Norway.
-
E.
Holhol
Holhol is a small town in southern Djibouti known as a railway stop and local administrative center within the Arta Region.
- 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: HOLO Triple: [HOLO card, branding, HOLO]
Generated description
HOLO is a brand associated with HOLO cards, typically used for contactless payment or access in transit and related services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HOLO Target entity description: HOLO is a brand associated with HOLO cards, typically used for contactless payment or access in transit and related services.
-
A.
HOL
HOL is the commonly used abbreviation for the Hall of Languages, a historic academic building on the Syracuse University campus.
-
B.
Holos
Holos is a pro-European, liberal political party in Ukraine known for its reformist and anti-corruption agenda.
-
C.
Hol
Hol is a rural municipality in Viken county, Norway, known for its mountainous landscapes, winter sports tourism, and traditional Norwegian culture.
-
D.
Hol
Hol is a small settlement located on the island of Tjeldøya in northern Norway.
-
E.
Holhol
Holhol is a small town in southern Djibouti known as a railway stop and local administrative center within the Arta Region.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d382400c819092ec0ca0de815888 |
completed | April 18, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc2035848190bf299875d37c8ac7 |
completed | May 10, 2026, 7:27 p.m. |
| NEDg | Description generation | batch_6a0114d68c8481909111bfab22882bb2 |
completed | May 10, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0118ba68408190b242154c40461f21 |
completed | May 10, 2026, 11:46 p.m. |
Created at: April 10, 2026, 5:32 a.m.