Triple
T4012417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tribe of Dan |
E90675
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Dan (Laish)
Dan (Laish) was an ancient Israelite city in the far north of the land, known as the northernmost boundary marker of biblical Israel (“from Dan to Beersheba”) and an important religious and strategic center.
|
E406289
|
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: Dan (Laish) | Statement: [Tribe of Dan, capital, Dan (Laish)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan (Laish) Context triple: [Tribe of Dan, capital, Dan (Laish)]
-
A.
Dane
A Dane is a person from Denmark, typically associated with Danish nationality, culture, and language.
-
B.
Dany
Dany is a former professional ice hockey winger best known for his high-scoring NHL career, including multiple 50-goal seasons and a prominent role with the Ottawa Senators.
-
C.
Darren
Darren is a masculine given name commonly used in English-speaking countries.
-
D.
Yoel
Yoel is a given name, commonly a variant of the biblical name Joel used in Hebrew and other languages.
-
E.
Dennis
Dennis is a masculine given name of Greek origin, commonly used in English-speaking countries.
- 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: Dan (Laish) Triple: [Tribe of Dan, capital, Dan (Laish)]
Generated description
Dan (Laish) was an ancient Israelite city in the far north of the land, known as the northernmost boundary marker of biblical Israel (“from Dan to Beersheba”) and an important religious and strategic center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dan (Laish) Target entity description: Dan (Laish) was an ancient Israelite city in the far north of the land, known as the northernmost boundary marker of biblical Israel (“from Dan to Beersheba”) and an important religious and strategic center.
-
A.
Dane
A Dane is a person from Denmark, typically associated with Danish nationality, culture, and language.
-
B.
Dany
Dany is a former professional ice hockey winger best known for his high-scoring NHL career, including multiple 50-goal seasons and a prominent role with the Ottawa Senators.
-
C.
Darren
Darren is a masculine given name commonly used in English-speaking countries.
-
D.
Yoel
Yoel is a given name, commonly a variant of the biblical name Joel used in Hebrew and other languages.
-
E.
Dennis
Dennis is a central teenage gang member in the British sci-fi action film "Attack the Block," known for battling alien invaders in a South London housing estate.
- 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_69aed95e44088190aff7d90a151b1b20 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa893ce08190b8fe49a11123738d |
completed | March 9, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c70eb7c8190bc5c4086b756c9c4 |
completed | March 14, 2026, 11:54 a.m. |
| NEDg | Description generation | batch_69b54d1898d48190b717a17ad366918d |
completed | March 14, 2026, 11:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b54ded2e6c8190a6dc9ce2f5d474b8 |
completed | March 14, 2026, noon |
Created at: March 9, 2026, 3:34 p.m.