Triple
T11348202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beleriand |
E268772
|
entity |
| Predicate | languageSpoken |
P151
|
FINISHED |
| Object |
Taliska
Taliska is a Mannish language of Middle-earth in J.R.R. Tolkien’s legendarium, spoken by the early Men of Beleriand.
|
E920169
|
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: Taliska | Statement: [Beleriand, languageSpoken, Taliska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taliska Context triple: [Beleriand, languageSpoken, Taliska]
-
A.
Renaelva
Renaelva is a river in eastern Norway that flows through Hedmark county before joining the larger Glomma river.
-
B.
Lesath
Lesath is a bright blue subgiant star in the constellation Scorpius, forming part of the prominent "stinger" at the tip of the scorpion’s tail.
-
C.
Tomarza
Tomarza is a district and town in central Turkey known for its agricultural activities and location within Kayseri Province in Central Anatolia.
-
D.
Keila
Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
-
E.
Aylett
Aylett is an English-language surname borne by various individuals, including historical and contemporary figures.
- 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: Taliska Triple: [Beleriand, languageSpoken, Taliska]
Generated description
Taliska is a Mannish language of Middle-earth in J.R.R. Tolkien’s legendarium, spoken by the early Men of Beleriand.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taliska Target entity description: Taliska is a Mannish language of Middle-earth in J.R.R. Tolkien’s legendarium, spoken by the early Men of Beleriand.
-
A.
Renaelva
Renaelva is a river in eastern Norway that flows through Hedmark county before joining the larger Glomma river.
-
B.
Lesath
Lesath is a bright blue subgiant star in the constellation Scorpius, forming part of the prominent "stinger" at the tip of the scorpion’s tail.
-
C.
Tomarza
Tomarza is a district and town in central Turkey known for its agricultural activities and location within Kayseri Province in Central Anatolia.
-
D.
Keila
Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
-
E.
Aylett
Aylett is an English-language surname borne by various individuals, including historical and contemporary figures.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea214bb88190bb66f7fd3ef73081 |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5438d7b58819093cc1407fefe8ab5 |
completed | April 19, 2026, 9:05 p.m. |
| NEDg | Description generation | batch_69e548bb7be4819093aeeaf0c048033e |
completed | April 19, 2026, 9:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e54eeba4a88190af128a99c277853a |
completed | April 19, 2026, 9:53 p.m. |
Created at: April 8, 2026, 9:33 p.m.