Triple
T11460862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gondolin |
E271654
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Tumladen
Tumladen is a hidden, fertile valley in J.R.R. Tolkien’s legendarium, famed as the secluded site of the Elven city of Gondolin in Beleriand.
|
E927792
|
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: Tumladen | Statement: [Gondolin, locatedIn, Tumladen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tumladen Context triple: [Gondolin, locatedIn, Tumladen]
-
A.
Tunduma
Tunduma is a border town in southern Tanzania that serves as a major road and rail gateway for trade and travel between Tanzania and Zambia.
-
B.
The Turim
The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
-
C.
Tumshuq
Tumshuq is an ancient city in the Tarim Basin region of Xinjiang, China, historically associated with the Saka (Scythian) peoples and their Eastern Iranian languages.
-
D.
Tumeremo
Tumeremo is a mining town in southeastern Venezuela known for its gold deposits and location within Bolívar State.
-
E.
Bumehen
Bumehen is a city in Iran that serves as one of the urban settlements within Pardis County, near Tehran.
- 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: Tumladen Triple: [Gondolin, locatedIn, Tumladen]
Generated description
Tumladen is a hidden, fertile valley in J.R.R. Tolkien’s legendarium, famed as the secluded site of the Elven city of Gondolin in Beleriand.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tumladen Target entity description: Tumladen is a hidden, fertile valley in J.R.R. Tolkien’s legendarium, famed as the secluded site of the Elven city of Gondolin in Beleriand.
-
A.
Tunduma
Tunduma is a border town in southern Tanzania that serves as a major road and rail gateway for trade and travel between Tanzania and Zambia.
-
B.
The Turim
The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
-
C.
Tumshuq
Tumshuq is an ancient city in the Tarim Basin region of Xinjiang, China, historically associated with the Saka (Scythian) peoples and their Eastern Iranian languages.
-
D.
Tumeremo
Tumeremo is a mining town in southeastern Venezuela known for its gold deposits and location within Bolívar State.
-
E.
Bumehen
Bumehen is a city in Iran that serves as one of the urban settlements within Pardis County, near Tehran.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f384f08190b1150ed1389dd31a |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e91f1bb881909a9c36d837e4059b |
completed | April 20, 2026, 8:51 a.m. |
| NEDg | Description generation | batch_69e5f1593c2c8190885f80ad5eeba3ec |
completed | April 20, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f87bbd988190ac388a3c34b2e95a |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 8, 2026, 9:35 p.m.