Triple
T16564824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kʼicheʼ people |
E402431
|
entity |
| Predicate | historicalCapital |
P2536
|
FINISHED |
| Object |
Utatlán
Utatlán was the pre-Columbian highland city that served as the principal political and ceremonial center of the Kʼicheʼ Maya kingdom in what is now Guatemala.
|
E1221836
|
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: Utatlán | Statement: [Kʼicheʼ people, historicalCapital, Utatlán]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Utatlán Context triple: [Kʼicheʼ people, historicalCapital, Utatlán]
-
A.
Naiche
Naiche was the last hereditary chief of the Chiricahua Apache and a prominent leader during the final phase of the Apache resistance against the United States.
-
B.
Rumueme
Rumueme is a prominent urban community in Rivers State, Nigeria, forming part of the greater Port Harcourt metropolitan area.
-
C.
Tuyuca
Tuyuca is an indigenous Eastern Tucanoan language spoken primarily in the Amazon region of Colombia and Brazil, noted for its complex verb morphology and extensive evidentiality system.
-
D.
Vichigasta
Vichigasta is a small town in the Chilecito Department of La Rioja Province in northwestern Argentina.
-
E.
Umag
Umag is a coastal town in northwestern Croatia known for its tourism, historic old town, and annual ATP tennis tournament.
- 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: Utatlán Triple: [Kʼicheʼ people, historicalCapital, Utatlán]
Generated description
Utatlán was the pre-Columbian highland city that served as the principal political and ceremonial center of the Kʼicheʼ Maya kingdom in what is now Guatemala.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Utatlán Target entity description: Utatlán was the pre-Columbian highland city that served as the principal political and ceremonial center of the Kʼicheʼ Maya kingdom in what is now Guatemala.
-
A.
Naiche
Naiche was the last hereditary chief of the Chiricahua Apache and a prominent leader during the final phase of the Apache resistance against the United States.
-
B.
Rumueme
Rumueme is a prominent urban community in Rivers State, Nigeria, forming part of the greater Port Harcourt metropolitan area.
-
C.
Tuyuca
Tuyuca is an indigenous Eastern Tucanoan language spoken primarily in the Amazon region of Colombia and Brazil, noted for its complex verb morphology and extensive evidentiality system.
-
D.
Vichigasta
Vichigasta is a small town in the Chilecito Department of La Rioja Province in northwestern Argentina.
-
E.
Umag
Umag is a coastal town in northwestern Croatia known for its tourism, historic old town, and annual ATP tennis tournament.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3577043048190bc9bcf55069b769f |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ee1c1d0819096367344e48bd8d0 |
completed | May 10, 2026, 11:41 a.m. |
| NEDg | Description generation | batch_6a006fba728c8190a835ce72a15563e1 |
completed | May 10, 2026, 11:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0070aee0248190b3463b98a739d1ae |
completed | May 10, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:15 a.m.