Triple
T20692103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plered |
E508576
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object |
Karta
Karta was a former administrative district or leadership term that historically governed the area later known as Plered.
|
E1445401
|
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: Karta | Statement: [Plered, precededBy, Karta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karta Context triple: [Plered, precededBy, Karta]
-
A.
Leap Card
Leap Card is a reusable, contactless smart card used for paying public transport fares across Dublin and other parts of Ireland.
-
B.
Q Card
Q Card is a contactless smart fare card used for paying public transportation fares in the Houston METRO transit system.
-
C.
Kartoteka
Kartoteka is a landmark absurdist drama by Polish writer Tadeusz Różewicz that portrays the fragmented inner life of a modern everyman in postwar Poland.
-
D.
The Card
The Card is a comic novel by English writer Arnold Bennett that follows the ambitious rise of the charming and enterprising Edward Henry Machin in the fictional Five Towns.
-
E.
Troika card
The Troika card is a reusable contactless smart card used for paying fares across Moscow’s public transportation system.
- 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: Karta Triple: [Plered, precededBy, Karta]
Generated description
Karta was a former administrative district or leadership term that historically governed the area later known as Plered.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karta Target entity description: Karta was a former administrative district or leadership term that historically governed the area later known as Plered.
-
A.
Leap Card
Leap Card is a reusable, contactless smart card used for paying public transport fares across Dublin and other parts of Ireland.
-
B.
Q Card
Q Card is a contactless smart fare card used for paying public transportation fares in the Houston METRO transit system.
-
C.
Kartoteka
Kartoteka is a landmark absurdist drama by Polish writer Tadeusz Różewicz that portrays the fragmented inner life of a modern everyman in postwar Poland.
-
D.
The Card
The Card is a comic novel by English writer Arnold Bennett that follows the ambitious rise of the charming and enterprising Edward Henry Machin in the fictional Five Towns.
-
E.
Troika card
The Troika card is a reusable contactless smart card used for paying fares across Moscow’s public transportation system.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c10eaccc819085320fffbb0aeceb |
completed | April 21, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08d7e43a3c81909f63e63e30e9c435 |
completed | May 16, 2026, 8:47 p.m. |
| NEDg | Description generation | batch_6a08d91216bc8190909e0e37f6d5e612 |
completed | May 16, 2026, 8:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d99214b48190b0ffba4026d3fa39 |
completed | May 16, 2026, 8:54 p.m. |
Created at: April 16, 2026, 12:09 p.m.