Triple
T3236755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lázaro You Heung-sik |
E67872
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Nonsan
Nonsan is a city in South Chungcheong Province, South Korea, known for its agricultural production and military training facilities.
|
E340283
|
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: Nonsan | Statement: [Lázaro You Heung-sik, placeOfBirth, Nonsan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nonsan Context triple: [Lázaro You Heung-sik, placeOfBirth, Nonsan]
-
A.
Nakanai
Nakanai is an Austronesian language spoken on the island of New Britain in Papua New Guinea, known for its role in the linguistic diversity of the Bismarck Archipelago.
-
B.
Sennan
Sennan is a coastal city in Osaka Prefecture, Japan, known for its proximity to Kansai International Airport and its role as part of the greater Osaka metropolitan area.
-
C.
Asago
Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
-
D.
Sannomiya
Sannomiya is a major commercial and transportation hub in central Kobe, Japan, known for its shopping streets, nightlife, and role as the city’s downtown core.
-
E.
Nakanamanga
Nakanamanga is an Oceanic Austronesian language spoken primarily on Efate Island and nearby areas in Vanuatu.
- 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: Nonsan Triple: [Lázaro You Heung-sik, placeOfBirth, Nonsan]
Generated description
Nonsan is a city in South Chungcheong Province, South Korea, known for its agricultural production and military training facilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nonsan Target entity description: Nonsan is a city in South Chungcheong Province, South Korea, known for its agricultural production and military training facilities.
-
A.
Nakanai
Nakanai is an Austronesian language spoken on the island of New Britain in Papua New Guinea, known for its role in the linguistic diversity of the Bismarck Archipelago.
-
B.
Sennan
Sennan is a coastal city in Osaka Prefecture, Japan, known for its proximity to Kansai International Airport and its role as part of the greater Osaka metropolitan area.
-
C.
Asago
Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
-
D.
Sannomiya
Sannomiya is a major commercial and transportation hub in central Kobe, Japan, known for its shopping streets, nightlife, and role as the city’s downtown core.
-
E.
Nakanamanga
Nakanamanga is an Oceanic Austronesian language spoken primarily on Efate Island and nearby areas in Vanuatu.
- 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaef29bf48190a9aa3a39f0138428 |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b277459d1081909766934ce6a56091 |
completed | March 12, 2026, 8:20 a.m. |
| NEDg | Description generation | batch_69b2780e41e0819080ddb26668f32838 |
completed | March 12, 2026, 8:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b27bd238a48190b9d13ee8a8bc955d |
completed | March 12, 2026, 8:39 a.m. |
Created at: March 8, 2026, 3:08 p.m.