Triple
T8081574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moclan |
E188627
|
entity |
| Predicate | ritual |
P4193
|
FINISHED |
| Object |
Ja'loja
Ja'loja is a ceremonial coming-of-age ritual in Moclan culture, prominently featured in the science fiction series "The Orville."
|
E711076
|
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: Ja'loja | Statement: [Moclan, ritual, Ja'loja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ja'loja Context triple: [Moclan, ritual, Ja'loja]
-
A.
Ojojona
Ojojona is a historic town in southern Honduras known for its colonial architecture and traditional crafts.
-
B.
Laja
Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
-
C.
Laka
Laka is a dialect of the Sara language spoken in parts of Central Africa, particularly in Chad and neighboring regions.
-
D.
Laiolo
Laiolo is an alternate name for the Laiyolo language, an Austronesian language spoken in parts of Indonesia.
-
E.
Ijoko
Ijoko is a historically significant Awori settlement in southwestern Nigeria that has grown into an important peri-urban community within the Lagos–Ogun metropolitan area.
- 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: Ja'loja Triple: [Moclan, ritual, Ja'loja]
Generated description
Ja'loja is a ceremonial coming-of-age ritual in Moclan culture, prominently featured in the science fiction series "The Orville."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ja'loja Target entity description: Ja'loja is a ceremonial coming-of-age ritual in Moclan culture, prominently featured in the science fiction series "The Orville."
-
A.
Ojojona
Ojojona is a historic town in southern Honduras known for its colonial architecture and traditional crafts.
-
B.
Laja
Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
-
C.
Laka
Laka is a dialect of the Sara language spoken in parts of Central Africa, particularly in Chad and neighboring regions.
-
D.
Laiolo
Laiolo is an alternate name for the Laiyolo language, an Austronesian language spoken in parts of Indonesia.
-
E.
Ijoko
Ijoko is a historically significant Awori settlement in southwestern Nigeria that has grown into an important peri-urban community within the Lagos–Ogun metropolitan area.
- 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb40a699388190a5b8e26524ae43e5 |
completed | March 31, 2026, 3:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63fba1148190b8d0f04faa5330a1 |
completed | April 1, 2026, 12:16 a.m. |
| NEDg | Description generation | batch_69cc651e3b4c81908408c9f08eca8e09 |
completed | April 1, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc694d861c8190b504352c1fad2c36 |
completed | April 1, 2026, 12:39 a.m. |
Created at: March 30, 2026, 5:28 p.m.