Triple
T16067304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spitak |
E389765
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object |
Lori
Lori is a mountainous region in northern Armenia known for its lush forests, deep river gorges, and rich cultural and historical heritage.
|
E1193298
|
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: Lori | Statement: [Spitak, historicalRegion, Lori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lori Context triple: [Spitak, historicalRegion, Lori]
-
A.
Lori
Lori is a feminine given name commonly used in English-speaking countries, often as a diminutive of Laura or Lorraine.
-
B.
Laurie
Laurie is a character from the horror film "Night Monster," involved in the eerie and suspenseful events surrounding the mysterious killings at the Ingston estate.
-
C.
Laurie
Laurie is a charming, wealthy, and impulsive young man who becomes a close friend and would-be suitor to the March sisters in Louisa May Alcott’s novel "Little Women."
-
D.
Lorna
Lorna is a feminine given name most notably borne by American actress and singer Lorna Luft, the daughter of Judy Garland.
-
E.
Sherri
Sherri is an American daytime talk show hosted by comedian and actress Sherri Shepherd, known for its celebrity interviews, pop culture commentary, and comedic monologues.
- 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: Lori Triple: [Spitak, historicalRegion, Lori]
Generated description
Lori is a mountainous region in northern Armenia known for its lush forests, deep river gorges, and rich cultural and historical heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lori Target entity description: Lori is a mountainous region in northern Armenia known for its lush forests, deep river gorges, and rich cultural and historical heritage.
-
A.
Lori
Lori is a feminine given name commonly used in English-speaking countries, often as a diminutive of Laura or Lorraine.
-
B.
Laurie
Laurie is a character from the horror film "Night Monster," involved in the eerie and suspenseful events surrounding the mysterious killings at the Ingston estate.
-
C.
Laurie
Laurie is a charming, wealthy, and impulsive young man who becomes a close friend and would-be suitor to the March sisters in Louisa May Alcott’s novel "Little Women."
-
D.
Lorna
Lorna is a feminine given name most notably borne by American actress and singer Lorna Luft, the daughter of Judy Garland.
-
E.
Sherri
Sherri is an American daytime talk show hosted by comedian and actress Sherri Shepherd, known for its celebrity interviews, pop culture commentary, and comedic monologues.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183baf29481908e5c66879e125363 |
completed | April 17, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe480d59c8190962ac596a872b5e0 |
completed | May 10, 2026, 1:50 a.m. |
| NEDg | Description generation | batch_69ffe6ee34788190942ef1d3bb805f78 |
completed | May 10, 2026, 2:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe7d127848190bbd79a8b94a49f93 |
completed | May 10, 2026, 2:05 a.m. |
Created at: April 10, 2026, 4:57 a.m.