Triple
T9338647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abbasid uprising in Khorasan |
E224708
|
entity |
| Predicate | hasMainLocation |
P40
|
FINISHED |
| Object |
Marw
Marw (Merv) was an important ancient city in Khorasan, serving as a major political, military, and cultural center in early Islamic and pre-Islamic Central Asia.
|
E792638
|
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: Marw | Statement: [Abbasid uprising in Khorasan, hasMainLocation, Marw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marw Context triple: [Abbasid uprising in Khorasan, hasMainLocation, Marw]
-
A.
Modasa
Modasa is a town in the Indian state of Gujarat that serves as the administrative headquarters of Aravalli district.
-
B.
Naab
The Naab is a river in Bavaria, Germany, that flows through the Upper Palatinate region before joining the Danube.
-
C.
Anadia
Anadia is a municipality and town in Portugal known for its wine production and thermal spas, located in the country's Centro Region.
-
D.
Temeswar
Temeswar (Timișoara) is a major city in western Romania known for its multicultural heritage and role in the 1989 Romanian Revolution.
-
E.
Wasilla
Wasilla is a small city in south-central Alaska known as part of the Anchorage metropolitan area and for being the hometown of former governor Sarah Palin.
- 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: Marw Triple: [Abbasid uprising in Khorasan, hasMainLocation, Marw]
Generated description
Marw (Merv) was an important ancient city in Khorasan, serving as a major political, military, and cultural center in early Islamic and pre-Islamic Central Asia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marw Target entity description: Marw (Merv) was an important ancient city in Khorasan, serving as a major political, military, and cultural center in early Islamic and pre-Islamic Central Asia.
-
A.
Modasa
Modasa is a town in the Indian state of Gujarat that serves as the administrative headquarters of Aravalli district.
-
B.
Naab
The Naab is a river in Bavaria, Germany, that flows through the Upper Palatinate region before joining the Danube.
-
C.
Anadia
Anadia is a municipality and town in Portugal known for its wine production and thermal spas, located in the country's Centro Region.
-
D.
Temeswar
Temeswar (Timișoara) is a major city in western Romania known for its multicultural heritage and role in the 1989 Romanian Revolution.
-
E.
Wasilla
Wasilla is a small city in south-central Alaska known as part of the Anchorage metropolitan area and for being the hometown of former governor Sarah Palin.
- 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_69ca84286fcc81909f6e7fd7a7e862a2 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4bace8488190a18c54e03be8410c |
completed | April 1, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e3e28a488190aa9d70b5ceed8727 |
completed | April 4, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_69d0e573af788190be4baaa3afb87ca2 |
completed | April 4, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0e607944c81909a421828595cd793 |
completed | April 4, 2026, 10:20 a.m. |
Created at: March 30, 2026, 7:40 p.m.