Triple
T888165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temurah |
E19176
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Albam
Albam is a classical Hebrew letter-substitution cipher used in Jewish mystical and exegetical traditions as a variant of the Temurah system.
|
E105878
|
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: Albam | Statement: [Temurah, hasVariant, Albam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albam Context triple: [Temurah, hasVariant, Albam]
-
A.
The Helena
The Helena is a prominent eco-friendly luxury residential skyscraper in Manhattan, New York City, developed by The Durst Organization.
-
B.
Como
Como is a historic city in northern Italy near the Swiss border, known for its scenic setting at the southern tip of Lake Como and its medieval architecture, including the Como Cathedral.
-
C.
Columbia
Columbia was the former name of the John F. Kennedy/University of Massachusetts Boston subway station on Boston’s MBTA Red Line.
-
D.
Columbia
Columbia is a historic Gold Rush-era town in Tuolumne County, California, preserved today as a state historic park and tourist destination.
-
E.
Brownson Deep
Brownson Deep is the deepest known point in the Atlantic Ocean, located within the Puerto Rico Trench.
- 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: Albam Triple: [Temurah, hasVariant, Albam]
Generated description
Albam is a classical Hebrew letter-substitution cipher used in Jewish mystical and exegetical traditions as a variant of the Temurah system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Albam Target entity description: Albam is a classical Hebrew letter-substitution cipher used in Jewish mystical and exegetical traditions as a variant of the Temurah system.
-
A.
The Helena
The Helena is a prominent eco-friendly luxury residential skyscraper in Manhattan, New York City, developed by The Durst Organization.
-
B.
Como
Como is a historic city in northern Italy near the Swiss border, known for its scenic setting at the southern tip of Lake Como and its medieval architecture, including the Como Cathedral.
-
C.
Columbia
Columbia was the former name of the John F. Kennedy/University of Massachusetts Boston subway station on Boston’s MBTA Red Line.
-
D.
Columbia
Columbia is a historic Gold Rush-era town in Tuolumne County, California, preserved today as a state historic park and tourist destination.
-
E.
Brownson Deep
Brownson Deep is the deepest known point in the Atlantic Ocean, located within the Puerto Rico Trench.
- 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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ace8b8688190ac065f92c017adec |
completed | March 1, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c021732c8190a3b4020f8e3cb90e |
completed | March 4, 2026, 5:16 a.m. |
| NEDg | Description generation | batch_69a7c0f4bd348190a5c258650a92958a |
completed | March 4, 2026, 5:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7c206d5c481908f45fcf9b94eec14 |
completed | March 4, 2026, 5:24 a.m. |
Created at: March 1, 2026, 7:39 p.m.