Triple
T2154825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uxmal |
E47862
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Sayil
Sayil is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, known for its impressive Puuc-style architecture and palace complexes.
|
E240947
|
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: Sayil | Statement: [Uxmal, locatedNear, Sayil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sayil Context triple: [Uxmal, locatedNear, Sayil]
-
A.
Shilha
Shilha is a major Berber (Amazigh) language of southwestern Morocco, spoken primarily by the Shilha people in the Atlas and Anti-Atlas regions.
-
B.
Kel Adagh
Kel Adagh is a Tuareg confederation traditionally inhabiting the mountainous Adrar des Ifoghas region of northeastern Mali and parts of the central Sahara.
-
C.
Khora
Khora is one of the now nearly extinct indigenous languages once spoken by the Great Andamanese people of the Andaman Islands in India.
-
D.
Ruqʿah
Ruqʿah is a simple, highly legible style of Arabic script commonly used for everyday handwriting and quick note-taking.
-
E.
Salyan
Salyan is a town in Azerbaijan known for its location in the Kura River lowlands and its role as a regional administrative and economic center.
- 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: Sayil Triple: [Uxmal, locatedNear, Sayil]
Generated description
Sayil is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, known for its impressive Puuc-style architecture and palace complexes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sayil Target entity description: Sayil is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, known for its impressive Puuc-style architecture and palace complexes.
-
A.
Shilha
Shilha is a major Berber (Amazigh) language of southwestern Morocco, spoken primarily by the Shilha people in the Atlas and Anti-Atlas regions.
-
B.
Kel Adagh
Kel Adagh is a Tuareg confederation traditionally inhabiting the mountainous Adrar des Ifoghas region of northeastern Mali and parts of the central Sahara.
-
C.
Khora
Khora is one of the now nearly extinct indigenous languages once spoken by the Great Andamanese people of the Andaman Islands in India.
-
D.
Ruqʿah
Ruqʿah is a simple, highly legible style of Arabic script commonly used for everyday handwriting and quick note-taking.
-
E.
Salyan
Salyan is a town in Azerbaijan known for its location in the Kura River lowlands and its role as a regional administrative and economic center.
- 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_69a88a1d1fd8819088b34990d69a712f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe64fdf081909a5ea6818bddd18c |
completed | March 7, 2026, 5:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58e32814819096d479ac6b5d241d |
completed | March 9, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69ae5afaf004819099fc04b7ac8135cd |
completed | March 9, 2026, 5:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5b507150819089727a6e66d656b7 |
completed | March 9, 2026, 5:32 a.m. |
Created at: March 4, 2026, 7:44 p.m.