Triple
T2939815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkmenabat |
E79357
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Chardzhev
Chardzhev is the former name of the city now known as Turkmenabat, a major urban center in eastern Turkmenistan.
|
E314441
|
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: Chardzhev | Statement: [Turkmenabat, formerName, Chardzhev]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chardzhev Context triple: [Turkmenabat, formerName, Chardzhev]
-
A.
Vidnoye
Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
-
B.
Voykovskaya
Voykovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the northern part of the city.
-
C.
Ivanychi
Ivanychi is a small urban-type settlement in western Ukraine that serves as a local administrative and community center within Volyn Oblast.
-
D.
Kuzminki
Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern Moscow.
-
E.
Yazov
Yazov is a Russian surname most notably borne by Dmitry Yazov, the last Marshal of the Soviet Union and a prominent Soviet military leader.
- 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: Chardzhev Triple: [Turkmenabat, formerName, Chardzhev]
Generated description
Chardzhev is the former name of the city now known as Turkmenabat, a major urban center in eastern Turkmenistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chardzhev Target entity description: Chardzhev is the former name of the city now known as Turkmenabat, a major urban center in eastern Turkmenistan.
-
A.
Vidnoye
Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
-
B.
Voykovskaya
Voykovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the northern part of the city.
-
C.
Ivanychi
Ivanychi is a small urban-type settlement in western Ukraine that serves as a local administrative and community center within Volyn Oblast.
-
D.
Kuzminki
Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern Moscow.
-
E.
Yazov
Yazov is a Russian surname most notably borne by Dmitry Yazov, the last Marshal of the Soviet Union and a prominent Soviet military leader.
- 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_69ad8b0fbab081908f6a61567c045d8d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad986d9a248190927efc1a0c7d247f |
completed | March 8, 2026, 3:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc7063dc819086ae9280d060313e |
completed | March 11, 2026, 5:24 a.m. |
| NEDg | Description generation | batch_69b0fd07b82881908d52ab2db2f2e54c |
completed | March 11, 2026, 5:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0fdba0fd88190a2e760f1770e846c |
completed | March 11, 2026, 5:29 a.m. |
Created at: March 8, 2026, 2:56 p.m.