Triple
T16951368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akateko |
E411186
|
entity |
| Predicate | hasGlottocode |
P3086
|
FINISHED |
| Object |
acat1239
acat1239 is the Glottocode identifier for Akateko, a Mayan language spoken primarily in Guatemala and Mexico.
|
E1243313
|
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: acat1239 | Statement: [Akateko, hasGlottocode, acat1239]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: acat1239 Context triple: [Akateko, hasGlottocode, acat1239]
-
A.
ACAT
ACAT is the Spanish acronym for the Arenal Tilarán Conservation Area, a protected natural region in Costa Rica known for its volcanic landscapes, forests, and biodiversity.
-
B.
Catz
Catz is the surname of Safra Catz, a prominent business executive best known as the CEO of Oracle Corporation.
-
C.
Catz
Catz is the informal nickname for St Catharine’s College, one of the constituent colleges of the University of Cambridge.
-
D.
Catz
Catz is a small commune in the Manche department of northwestern France, situated in the historic Normandy region.
-
E.
CAT
CAT is a branded express rail service that connects Vienna International Airport with the city center quickly and comfortably.
- 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: acat1239 Triple: [Akateko, hasGlottocode, acat1239]
Generated description
acat1239 is the Glottocode identifier for Akateko, a Mayan language spoken primarily in Guatemala and Mexico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: acat1239 Target entity description: acat1239 is the Glottocode identifier for Akateko, a Mayan language spoken primarily in Guatemala and Mexico.
-
A.
ACAT
ACAT is the Spanish acronym for the Arenal Tilarán Conservation Area, a protected natural region in Costa Rica known for its volcanic landscapes, forests, and biodiversity.
-
B.
Catz
Catz is the informal nickname for St Catharine’s College, one of the constituent colleges of the University of Cambridge.
-
C.
Catz
Catz is the surname of Safra Catz, a prominent business executive best known as the CEO of Oracle Corporation.
-
D.
Catz
Catz is a small commune in the Manche department of northwestern France, situated in the historic Normandy region.
-
E.
CAT
CAT is a globally recognized industrial brand best known for its heavy construction machinery, engines, and rugged workwear.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfb6e5fc8190b1bd3ad1c2773685 |
completed | April 18, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d46213b08190b33b48d12bc795d1 |
completed | May 10, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_6a00d5503be88190ac15a327ff3782ec |
completed | May 10, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d66e450c8190ae0befd3d7875ed8 |
completed | May 10, 2026, 7:03 p.m. |
Created at: April 10, 2026, 5:31 a.m.