Triple
T3266168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiapas |
E68532
|
entity |
| Predicate | containsIndigenousLanguage |
P27399
|
FINISHED |
| Object | Tojolabal |
E155116
|
NE FINISHED |
How this triple was built (2 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: Tojolabal | Statement: [Chiapas, containsIndigenousLanguage, Tojolabal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tojolabal Context triple: [Chiapas, containsIndigenousLanguage, Tojolabal]
-
A.
Tojolabal
chosen
Tojolabal is an indigenous Mayan language spoken primarily in the Chiapas region of southern Mexico.
-
B.
Talokan
Talokan is a fictional underwater Mesoamerican-inspired kingdom ruled by Namor in the Marvel Cinematic Universe film "Black Panther: Wakanda Forever."
-
C.
Watugaluh
Watugaluh was an important historical city in Java that served as the political and administrative center of the Medang Kingdom.
-
D.
Tambolaka
Tambolaka is a town on the Indonesian island of Sumba that serves as an important local hub with an airport and access point for exploring the island.
-
E.
Pakurumo
Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafcc99908190897230b4b71e2ea8 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28eed68c08190994376bfbfeae949 |
completed | March 12, 2026, 10:01 a.m. |
Created at: March 8, 2026, 3:09 p.m.