Triple
T8976621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speyer |
E214406
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object |
Spira
Spira is the historical Latin name for the German city of Speyer, a prominent medieval center on the Rhine known for its imperial cathedral.
|
E769018
|
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: Spira | Statement: [Speyer, historicalName, Spira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spira Context triple: [Speyer, historicalName, Spira]
-
A.
Modara
Modara is a coastal urban neighborhood in Colombo, Sri Lanka, known for its port-adjacent location and dense residential and commercial activity.
-
B.
Karnaca
Karnaca is a major coastal city and primary setting in the video game Dishonored 2, known for its wind-swept streets, distinct southern-European-inspired architecture, and political intrigue.
-
C.
Lesath
Lesath is a bright blue subgiant star in the constellation Scorpius, forming part of the prominent "stinger" at the tip of the scorpion’s tail.
-
D.
Toran
Toran is a given name that can be used for individuals in various cultures and contexts.
-
E.
Sancar
Sancar is the surname of Aziz Sancar, a Turkish-American biochemist and molecular biologist renowned for his Nobel Prize–winning work on DNA repair.
- 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: Spira Triple: [Speyer, historicalName, Spira]
Generated description
Spira is the historical Latin name for the German city of Speyer, a prominent medieval center on the Rhine known for its imperial cathedral.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Spira Target entity description: Spira is the historical Latin name for the German city of Speyer, a prominent medieval center on the Rhine known for its imperial cathedral.
-
A.
Modara
Modara is a coastal urban neighborhood in Colombo, Sri Lanka, known for its port-adjacent location and dense residential and commercial activity.
-
B.
Karnaca
Karnaca is a major coastal city and primary setting in the video game Dishonored 2, known for its wind-swept streets, distinct southern-European-inspired architecture, and political intrigue.
-
C.
Lesath
Lesath is a bright blue subgiant star in the constellation Scorpius, forming part of the prominent "stinger" at the tip of the scorpion’s tail.
-
D.
Toran
Toran is a given name that can be used for individuals in various cultures and contexts.
-
E.
Sancar
Sancar is the surname of Aziz Sancar, a Turkish-American biochemist and molecular biologist renowned for his Nobel Prize–winning work on DNA repair.
- 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_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6786c880819088393bb107a7364c |
completed | April 1, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc96aa46c81908b95a23fd2b4da57 |
completed | April 3, 2026, 2:06 p.m. |
| NEDg | Description generation | batch_69cfca00ffa08190ad66fb99572a6275 |
completed | April 3, 2026, 2:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfca84937881909707497d733218e5 |
completed | April 3, 2026, 2:11 p.m. |
Created at: March 30, 2026, 7:02 p.m.