Triple
T1242108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baku Governorate |
E26679
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object |
Petrovsk-Port
Petrovsk-Port was a significant port city in the Russian Empire’s Caucasus region, serving as an important commercial and strategic hub on the Caspian Sea.
|
E146045
|
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: Petrovsk-Port | Statement: [Baku Governorate, majorCity, Petrovsk-Port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Petrovsk-Port Context triple: [Baku Governorate, majorCity, Petrovsk-Port]
-
A.
Novo-Ogaryovo
Novo-Ogaryovo is a suburban governmental estate outside Moscow that serves as one of the primary official residences of Russian President Vladimir Putin.
-
B.
Komsomolskaya
Komsomolskaya is one of Moscow Metro’s most famous and ornate stations, renowned for its grand Baroque-style decor and elaborate mosaics.
-
C.
Sevastopol
Sevastopol is a major port city on the Black Sea, historically significant as a naval base and the site of key military conflicts.
-
D.
Krasnov
Krasnov is a Russian surname borne by various notable figures in military, political, and cultural history.
-
E.
Novoslobodskaya
Novoslobodskaya is a Moscow Metro station famed for its distinctive stained-glass panels and ornate, cathedral-like interior design.
- 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: Petrovsk-Port Triple: [Baku Governorate, majorCity, Petrovsk-Port]
Generated description
Petrovsk-Port was a significant port city in the Russian Empire’s Caucasus region, serving as an important commercial and strategic hub on the Caspian Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Petrovsk-Port Target entity description: Petrovsk-Port was a significant port city in the Russian Empire’s Caucasus region, serving as an important commercial and strategic hub on the Caspian Sea.
-
A.
Novo-Ogaryovo
Novo-Ogaryovo is a suburban governmental estate outside Moscow that serves as one of the primary official residences of Russian President Vladimir Putin.
-
B.
Komsomolskaya
Komsomolskaya is one of Moscow Metro’s most famous and ornate stations, renowned for its grand Baroque-style decor and elaborate mosaics.
-
C.
Sevastopol
Sevastopol is a major port city on the Black Sea, historically significant as a naval base and the site of key military conflicts.
-
D.
Krasnov
Krasnov is a Russian surname borne by various notable figures in military, political, and cultural history.
-
E.
Novoslobodskaya
Novoslobodskaya is a Moscow Metro station famed for its distinctive stained-glass panels and ornate, cathedral-like interior design.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf44ac3c8190a28a333b320305fd |
completed | March 1, 2026, 10:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aca2ed73248190b03fd6085dec9d8c |
completed | March 7, 2026, 10:13 p.m. |
| NEDg | Description generation | batch_69aca3752a3c81908bd6d9744ad5f5a2 |
completed | March 7, 2026, 10:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aca3e44bf481908c5726adddc4b428 |
completed | March 7, 2026, 10:17 p.m. |
Created at: March 1, 2026, 7:47 p.m.