Triple
T27494048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of Lanna |
E693974
|
entity |
| Predicate | hasTitleInLocalLanguage |
P85853
|
FINISHED |
| Object |
Phaya Lanna
Phaya Lanna is the traditional local-language title used for the monarchs who ruled the historical Lanna Kingdom in what is now northern Thailand.
|
E673882
|
NE FINISHED |
How this triple was built (3 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: Phaya Lanna | Statement: [King of Lanna, hasTitleInLocalLanguage, Phaya Lanna]
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: Phaya Lanna Triple: [King of Lanna, hasTitleInLocalLanguage, Phaya Lanna]
Generated description
Phaya Lanna is the traditional local-language title used for the monarchs who ruled the historical Lanna Kingdom in what is now northern Thailand.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleInLocalLanguage Context triple: [King of Lanna, hasTitleInLocalLanguage, Phaya Lanna]
-
A.
hasTitleInLanguage
Indicates that an entity has a specific title expressed in a particular language.
-
B.
titleInLocalLanguage
chosen
Indicates that an entity’s title is expressed in the primary or native language of a specified place or community.
-
C.
hasTitleInEnglishOrthography
Indicates that an entity has a specific title expressed using English spelling and writing conventions.
-
D.
hasTitleInTransliteration
Indicates that an entity has a specific title represented in a transliterated form from another writing system.
-
E.
hasNameInLocalLanguage
Indicates that an entity is associated with a name expressed in the local or native language of a given context or region.
- F. None of above.
Provenance (6 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_69ef5382b9648190be0b1ef2ad5d043c |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12d0c0ebd48190acfcdbbb2341e923 |
completed | May 24, 2026, 10:19 a.m. |
| NEDg | Description generation | batch_6a12d18a985c819080daa18aa946feaa |
completed | May 24, 2026, 10:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12d290bc5081909bd6c027b8a5b4d4 |
completed | May 24, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 27, 2026, 1:07 p.m.