Triple
T13456365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Çärjew |
E311243
|
entity |
| Predicate | alternativeTransliteration |
P5923
|
FINISHED |
| Object |
Charjou
Charjou is an alternative transliteration of Çärjew, a city in Turkmenistan historically known as a key transport and trade hub along the Amu Darya River.
|
E1041538
|
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: Charjou | Statement: [Çärjew, alternativeTransliteration, Charjou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charjou Context triple: [Çärjew, alternativeTransliteration, Charjou]
-
A.
Tazoult
Tazoult is a town in northeastern Algeria known for its historical significance and proximity to the ancient Roman site of Lambaesis.
-
B.
Jahra
Jahra is a major town and administrative center in western Kuwait, known historically as an agricultural area and now as a growing suburban and commercial hub.
-
C.
Artouz
Artouz is a town in southwestern Syria located near Damascus within the Rif Dimashq region.
-
D.
Chedli
Chedli is a Tunisian given name most notably borne by Chedli Klibi, a prominent politician and former Secretary-General of the Arab League.
-
E.
Bechara
Bechara is a masculine given name commonly used in Arabic-speaking and Middle Eastern Christian communities.
- 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: Charjou Triple: [Çärjew, alternativeTransliteration, Charjou]
Generated description
Charjou is an alternative transliteration of Çärjew, a city in Turkmenistan historically known as a key transport and trade hub along the Amu Darya River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Charjou Target entity description: Charjou is an alternative transliteration of Çärjew, a city in Turkmenistan historically known as a key transport and trade hub along the Amu Darya River.
-
A.
Tazoult
Tazoult is a town in northeastern Algeria known for its historical significance and proximity to the ancient Roman site of Lambaesis.
-
B.
Jahra
Jahra is a major town and administrative center in western Kuwait, known historically as an agricultural area and now as a growing suburban and commercial hub.
-
C.
Artouz
Artouz is a town in southwestern Syria located near Damascus within the Rif Dimashq region.
-
D.
Chedli
Chedli is a Tunisian given name most notably borne by Chedli Klibi, a prominent politician and former Secretary-General of the Arab League.
-
E.
Bechara
Bechara is a masculine given name commonly used in Arabic-speaking and Middle Eastern Christian communities.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0a75008190a508060c85f73604 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7399e33008190b10c14f30ff0c0d2 |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73e59f4d88190b13904a347072cdd |
completed | May 3, 2026, 12:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73ece474c81909007cf1330a5b8c1 |
completed | May 3, 2026, 12:25 p.m. |
Created at: April 9, 2026, 9:41 p.m.